{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 24: Hierarchical Risk Parity (HRP) Portfolio Optimization\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>-2.0257%</td>\n",
       "      <td>0.4056%</td>\n",
       "      <td>0.4036%</td>\n",
       "      <td>1.9693%</td>\n",
       "      <td>0.0179%</td>\n",
       "      <td>0.9305%</td>\n",
       "      <td>0.3678%</td>\n",
       "      <td>0.5783%</td>\n",
       "      <td>0.9483%</td>\n",
       "      <td>-1.1953%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5881%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>2.8236%</td>\n",
       "      <td>0.9758%</td>\n",
       "      <td>0.6987%</td>\n",
       "      <td>1.7539%</td>\n",
       "      <td>-0.1730%</td>\n",
       "      <td>0.2410%</td>\n",
       "      <td>1.3735%</td>\n",
       "      <td>-1.0857%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-11.4863%</td>\n",
       "      <td>-1.5878%</td>\n",
       "      <td>0.2412%</td>\n",
       "      <td>-1.7557%</td>\n",
       "      <td>-0.7727%</td>\n",
       "      <td>-1.2473%</td>\n",
       "      <td>-0.1736%</td>\n",
       "      <td>-1.1239%</td>\n",
       "      <td>-3.5867%</td>\n",
       "      <td>-0.9551%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5547%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>0.1592%</td>\n",
       "      <td>-1.5646%</td>\n",
       "      <td>0.3108%</td>\n",
       "      <td>-1.0155%</td>\n",
       "      <td>-0.7653%</td>\n",
       "      <td>-3.0048%</td>\n",
       "      <td>-0.9034%</td>\n",
       "      <td>-2.9144%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-5.1388%</td>\n",
       "      <td>-4.1922%</td>\n",
       "      <td>-1.6573%</td>\n",
       "      <td>-2.7699%</td>\n",
       "      <td>-1.1047%</td>\n",
       "      <td>-1.9769%</td>\n",
       "      <td>-1.2206%</td>\n",
       "      <td>-0.8856%</td>\n",
       "      <td>-4.6059%</td>\n",
       "      <td>-2.5394%</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.2066%</td>\n",
       "      <td>-3.0309%</td>\n",
       "      <td>-1.0410%</td>\n",
       "      <td>-3.1557%</td>\n",
       "      <td>-1.6148%</td>\n",
       "      <td>-0.2700%</td>\n",
       "      <td>-2.2845%</td>\n",
       "      <td>-2.0570%</td>\n",
       "      <td>-0.5492%</td>\n",
       "      <td>-3.0019%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>0.2736%</td>\n",
       "      <td>-2.2705%</td>\n",
       "      <td>-1.6037%</td>\n",
       "      <td>-2.5425%</td>\n",
       "      <td>0.1099%</td>\n",
       "      <td>-0.2241%</td>\n",
       "      <td>0.5706%</td>\n",
       "      <td>-1.6402%</td>\n",
       "      <td>-1.7642%</td>\n",
       "      <td>-0.1649%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1539%</td>\n",
       "      <td>-1.1366%</td>\n",
       "      <td>-0.7308%</td>\n",
       "      <td>-0.1448%</td>\n",
       "      <td>0.0895%</td>\n",
       "      <td>-3.3838%</td>\n",
       "      <td>-0.1117%</td>\n",
       "      <td>-1.1387%</td>\n",
       "      <td>-0.9719%</td>\n",
       "      <td>-1.1254%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>-4.3383%</td>\n",
       "      <td>0.1693%</td>\n",
       "      <td>-1.6851%</td>\n",
       "      <td>-1.0215%</td>\n",
       "      <td>0.0914%</td>\n",
       "      <td>-1.1791%</td>\n",
       "      <td>0.5674%</td>\n",
       "      <td>0.5288%</td>\n",
       "      <td>0.6616%</td>\n",
       "      <td>0.0331%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6436%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.9870%</td>\n",
       "      <td>-0.1450%</td>\n",
       "      <td>1.2224%</td>\n",
       "      <td>1.4570%</td>\n",
       "      <td>0.5367%</td>\n",
       "      <td>-0.4607%</td>\n",
       "      <td>0.5800%</td>\n",
       "      <td>-1.9919%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                         \n",
       "2016-01-05  -2.0257%  0.4056%  0.4036%  1.9693%  0.0179%  0.9305%  0.3678%   \n",
       "2016-01-06 -11.4863% -1.5878%  0.2412% -1.7557% -0.7727% -1.2473% -0.1736%   \n",
       "2016-01-07  -5.1388% -4.1922% -1.6573% -2.7699% -1.1047% -1.9769% -1.2206%   \n",
       "2016-01-08   0.2736% -2.2705% -1.6037% -2.5425%  0.1099% -0.2241%  0.5706%   \n",
       "2016-01-11  -4.3383%  0.1693% -1.6851% -1.0215%  0.0914% -1.1791%  0.5674%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2016-01-05  0.5783%  0.9483% -1.1953%  ...  1.5881%  0.0212%  2.8236%   \n",
       "2016-01-06 -1.1239% -3.5867% -0.9551%  ...  0.5547%  0.0212%  0.1592%   \n",
       "2016-01-07 -0.8856% -4.6059% -2.5394%  ... -2.2066% -3.0309% -1.0410%   \n",
       "2016-01-08 -1.6402% -1.7642% -0.1649%  ... -0.1539% -1.1366% -0.7308%   \n",
       "2016-01-11  0.5288%  0.6616%  0.0331%  ...  1.6436%  0.0000%  0.9870%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2016-01-05  0.9758%  0.6987%  1.7539% -0.1730%  0.2410%  1.3735% -1.0857%  \n",
       "2016-01-06 -1.5646%  0.3108% -1.0155% -0.7653% -3.0048% -0.9034% -2.9144%  \n",
       "2016-01-07 -3.1557% -1.6148% -0.2700% -2.2845% -2.0570% -0.5492% -3.0019%  \n",
       "2016-01-08 -0.1448%  0.0895% -3.3838% -0.1117% -1.1387% -0.9719% -1.1254%  \n",
       "2016-01-11 -0.1450%  1.2224%  1.4570%  0.5367% -0.4607%  0.5800% -1.9919%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio as rp\n",
    "\n",
    "# Plotting Assets Clusters\n",
    "\n",
    "ax = rp.plot_dendrogram(returns=Y,\n",
    "                        codependence='pearson',\n",
    "                        linkage='single',\n",
    "                        k=None,\n",
    "                        max_k=10,\n",
    "                        leaf_order=True,\n",
    "                        ax=None)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dendrogram above suggest that optimal number of clusters are four. However HRP portfolios don't use a number of clusters as input.\n",
    "\n",
    "## 2. Estimating HRP Portfolio\n",
    "\n",
    "This is the original model proposed by López de Prado (2016). Riskfolio-Lib expand this model to 32 risk measures.\n",
    "\n",
    "### 2.1 Calculating the HRP portfolio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>1.4534%</td>\n",
       "      <td>2.3214%</td>\n",
       "      <td>4.3891%</td>\n",
       "      <td>3.2421%</td>\n",
       "      <td>4.4245%</td>\n",
       "      <td>5.2409%</td>\n",
       "      <td>3.3767%</td>\n",
       "      <td>2.3246%</td>\n",
       "      <td>2.1719%</td>\n",
       "      <td>5.4299%</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0545%</td>\n",
       "      <td>1.8952%</td>\n",
       "      <td>6.0077%</td>\n",
       "      <td>3.7508%</td>\n",
       "      <td>5.8637%</td>\n",
       "      <td>3.1666%</td>\n",
       "      <td>5.2246%</td>\n",
       "      <td>3.0513%</td>\n",
       "      <td>9.2365%</td>\n",
       "      <td>2.2744%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 1.4534% 2.3214% 4.3891% 3.2421% 4.4245% 5.2409% 3.3767% 2.3246%   \n",
       "\n",
       "            HPQ     JCI  ...      NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 2.1719% 5.4299%  ... 5.0545% 1.8952% 6.0077% 3.7508% 5.8637% 3.1666%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 5.2246% 3.0513% 9.2365% 2.2744%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Building the portfolio object\n",
    "port = rp.HCPortfolio(returns=Y)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "model='HRP' # Could be HRP or HERC\n",
    "codependence = 'pearson' # Correlation matrix used to group assets in clusters\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "rf = 0 # Risk free rate\n",
    "linkage = 'single' # Linkage method used to build clusters\n",
    "max_k = 10 # Max number of clusters used in two difference gap statistic, only for HERC model\n",
    "leaf_order = True # Consider optimal order of leafs in dendrogram\n",
    "\n",
    "w = port.optimization(model=model,\n",
    "                      codependence=codependence,\n",
    "                      rm=rm,\n",
    "                      rf=rf,\n",
    "                      linkage=linkage,\n",
    "                      max_k=max_k,\n",
    "                      leaf_order=leaf_order)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = rp.plot_pie(w=w,\n",
    "                 title='HRP Naive Risk Parity',\n",
    "                 others=0.05,\n",
    "                 nrow=25,\n",
    "                 cmap=\"tab20\",\n",
    "                 height=8,\n",
    "                 width=10,\n",
    "                 ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Plotting Risk Contribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FF10UczfuQCCASZMm4dtvv61XZdBQrgHElN0DQEpKCjp06IBt27bF7eWHr8ShfcyLxvp5dBy0FIsWLUJmZiYuuuiimMejZc7//Oc/Yx4/7bTT3BszAkBhYSEKCgqaHJvGxli0nd988w3Wrl3rxqPu2Jg4cSJ27NhRL1/xxHru3LmwbRtXX321+9jVV1+NAwcOxFQ/nHjiiUhNTcV1112HefPmNXhFvylz9htvvIHTTjsNXbt2jWlLtHKn7q9GEEJIXbjwJoQQD5588kkUFxdj0aJFuP7667FmzRpceumlns+bNGkS5syZg82bN+PCCy9EQUEBhg8fjoULF9bb9/nnn0dGRgamTJki3kSoLpWVlQDQ6CK9ffv2uPTSS/HXv/4VH330Eb744gsUFhZixowZDf4sUV1s28b48ePx97//Hbfddhv++c9/4uOPP8aHH34Yc+y6dOzYMeb/09LSYvbdu3cvgsFgvf06d+5c77VuvfVW/O53v8MPf/hDvP766/joo49QXFyMQYMGNXjsQ7/PHv2ee0Ov3dBjzSG6MOnatSuA2u/8O46DwsJCpKSkxPx9+OGHMR/if/rTnyItLc0ts/3qq69QXFwcczO8hvj4448xfvx4AMCjjz6Kf/3rXyguLsaMGTMANJwXL/bt2wfHcRq8J0C0bdF4RvHKdV3S09M9vXr27AngP1/j8NO3MRq7Z0JDSP38ULdEs3fvXnTu3LnePFJQUIBgMOgZG6A2Pk2NTWNjLHqc6Fcs/vu//7veuJg6dSoA1FvgNjXWtm3jiSeeQNeuXd273peVleHMM89EZmZmTLl5nz598O6776KgoAD/9V//hT59+qBPnz7461//6u7TlDl7165deP311+u15bjjjmuwLYQQEoV3NSeEEA8GDBjg3lDttNNOg2VZeOyxx/Dyyy/Xu6p0KJMnT8bkyZNx4MABLF68GH/4wx/wgx/8AF9//bV79RgAnnnmGfzud7/DmDFjUFRUhBNPPNHTq1OnTgBqb6TUlA+qxx13HH7yk59g9uzZ+Prrr92fGWuIVatW4fPPP8cTTzyBK6+80n08etOy5tCxY0dEIhHs3bs35sP+zp076+379NNP44orrnC/gx5lz5499X5OCUC9RUb09Rt67YYeaw7/+Mc/YBgGRo8eDaA2H4ZhYMmSJe7Cri51H8vNzcX555+PJ598En/6058wd+5cpKene57Qef7555GSkoI33ngj5oTLa6+91ux25ObmwjTNBu8FEK2qiPa15rBv3z7P50+YMAGPPPIIXnvtNfz617/21bcxmnpCDIDYz6OPRfN36I3DDndh3rFjR3z00UdwHCfGeffu3YhEIgmPTWNjLNrO6PGmT5/e4HfMAdT7ubmmxvrdd991T4A1dALhww8/xFdffeXe+X3UqFEYNWoULMvCihUr8Le//Q3Tpk1DYWEhfvKTnwDwnrM7deqEE044AXfeeWeDTtGTP4QQcii84k0IIXFyzz33IDc3F7///e+b/NNcmZmZOPvsszFjxgzU1NRg9erVMf+el5eHd999FwMGDMBpp53mXlmW6N+/P4Dam6DVZe/eve7Ngg5l7dq1AP7z4bCxK3/RD76HLiAffvhhT6/GiN4ELvq72FGeffbZevsahlHv2G+++WaTS5b79euHLl264LnnnospCd+8eTOWLVsWr3o95s6di7feeguXXnqpe7X2Bz/4ARzHwbZt2zB06NB6f8cff3zMa0yePBnbt2/HggUL8PTTT+OCCy5o8KRCXaI/kxYIBNzHKisr8dRTT9Xbt6lXLTMzMzF8+HD8/e9/j9nftm08/fTT6N69u+eNBBtj+/btqKqq8vzJq/PPPx/HH388Zs2ahVWrVjW4zzvvvIOKiooW843nKm9TaKyfR+9AXlhYiPT0dHzxxRcx+82fP79BN6BpV+jPOOMMfPfdd/VOxkTv6H/GGWc0yb+pNDbGou3s168f+vbti88//7zBcTF06NCYUvd4ePzxx2GaJl577TW89957MX/RMTFnzpx6zwsEAhg+fDjuv/9+AMCnn35ab5/G5uwf/OAHWLVqFfr06dNgW7zmVkJI24VXvAkhJE5yc3Mxffp03HbbbXj22WcbvJszAFx77bXIyMjAqaeeii5dumDnzp2YNWsW2rdvj2HDhtXbPzs7G2+//TZ+9KMfYdy4cfjHP/5R747ldRk+fDgyMjLw4YcfxnyH9b333sPPf/5z/PSnP8XIkSPRsWNH7N69G8899xzefvttXHHFFejevTsAuN8nfuSRR5CdnY309HT07t0b/fv3R58+ffDrX/8ajuMgLy8Pr7/+eoNl8k1l/PjxGD16NG677TYcOHAAQ4cOxb/+9a8GF40/+MEP8MQTT6B///444YQT8Mknn+B///d/XW8vTNPEHXfcgSlTpuCCCy7Atddei7KyMsycOTOuUvPKysqY8voNGzbgtddewxtvvIExY8bgoYcecvc99dRTcd1112Hy5MlYsWIFRo8ejczMTOzYsQNLly7F8ccfjxtvvDEmHt27d8fUqVOxc+dOzzJzoPZO9H/+859x2WWX4brrrsPevXvxf//3fw1eYT/++OPx/PPP44UXXsDRRx+N9PT0eov/KLNmzcK4ceNw2mmn4b//+7+RmpqKBx54AKtWrcJzzz0X19XeukRjJ/VjoHYh9Oqrr2L8+PEYMWIEbrzxRpx22mnIzMzE5s2b8fLLL+P111/Hvn37Wsw3nnh5kZqainvvvRffffcdhg0bhmXLluFPf/oTzj77bHz/+98HAPd+AHPmzEGfPn0waNAgfPzxxw2eiIp6/PWvf8WVV16JlJQU9OvXr8EF6xVXXIH7778fV155JTZt2oTjjz8eS5cuxV133YWJEyfizDPPbFabGmP37t3uGNu/fz/+8Ic/ID09HdOnT3f3efjhh3H22WdjwoQJuOqqq9CtWzeUlpZizZo1+PTTT/HSSy/Ffdy9e/di/vz5mDBhAs4///wG9/nLX/6CJ598ErNmzcLjjz+ORYsW4ZxzzkHPnj1RVVXlLsqjMWnKnP3HP/4RCxcuxMiRI3HzzTejX79+qKqqwqZNm7BgwQI89NBD6N69O7Kzs9GrVy/Mnz8fZ5xxBvLy8tCpUyf3Z+oIIW0Q327rRgghyql7x/FDqaysdHr27On07dvXiUQijuPUv7vwvHnznNNOO80pLCx0UlNTna5duzoXX3yx88UXX4jHqK6udi688EInPT3defPNN0XHSZMmOccee2zMY1u3bnV++9vfOqeeeqrTuXNnJxgMOtnZ2c7w4cOdv/3tb65vlNmzZzu9e/d2AoFAzF2Wv/rqK2fcuHFOdna2k5ub6/z4xz92tmzZUu9OvdG7mpeUlDQYv7p3Yi4rK3Ouvvpqp0OHDk67du2ccePGOWvXrq33mvv27XOuueYap6CgwGnXrp3z/e9/31myZEm9GEfvrPzSSy81GJ/HHnvM6du3r5Oamup873vfc+bMmeNceeWVTb6rOQ7eFR6Ak5mZ6Rx99NHORRdd5Lz00kvunZgPZc6cOc7w4cOdzMxMJyMjw+nTp49zxRVXOCtWrKi3729+8xsHgNOjR48GX6+hu5rPmTPH6devn5OWluYcffTRzqxZs5zHH3+8Xqw3bdrkjB8/3snOznYAuG1u7G7aS5YscU4//XTX+5RTTnFef/31mH0aGxMN3d3bcWr75/HHH99gnBqirKzMueOOO5yTTjrJycrKclJSUpyePXs6l19+ufOvf/2rRX0bi5fUxxq7q3lmZqbzxRdfOGPHjnUyMjKcvLw858Ybb3S+++67mOfv37/fmTJlilNYWOhkZmY65557rrNp06YG74Y9ffp0p2vXro5pmjHHbKiP7N2717nhhhucLl26OMFg0OnVq5czffr0eneNB+D813/9V7129erVy7nyyivrPd5Q25966inn5ptvdvLz8520tDRn1KhRDfb1zz//3Ln44oudgoICJyUlxencubNz+umnOw899JC7jzTnHsrs2bMdAM5rr73W6D7RO7y/8sorzvLly50LLrjA6dWrl5OWluZ07NjRGTNmjPOPf/zD3b8pc7bj1N6x/Oabb3Z69+7tpKSkOHl5ec6QIUOcGTNmxOT43XffdQYPHuykpaU5ADxjSgg5sjEc55DbshJCCEkaVqxYgWHDhuHDDz/E8OHD/dYhxCUUCqFr1674y1/+4v6+MTlyeP/993HaaafhpZde8rzXBSGEEH7HmxBCkpqhQ4fi4osvxh133OG3CiEx/OUvf0HPnj2bVEJPCCGEHOlw4U0IIUnOvffei2HDhqG8vNxvFUJccnJy8MQTT3j+3j0hhBDSFmCpOSGEEEIIIYQQ0oLEfcV78eLFOPfcc9G1a1cYhtGk3w794IMPMGTIEKSnp+Poo4+OuQtslFdeeQXHHnss0tLScOyxx+LVV1+tt88DDzyA3r17Iz09HUOGDMGSJUti/t1xHMycORNdu3ZFRkYGxo4dW+8ne2699Vbk5eWhZ8+eeP7552P+7cUXX8S5557bhCgQQgghhBBCCCFNI+6F94EDBzBo0CDcd999Tdp/48aNmDhxIkaNGoWVK1fiN7/5DW6++Wa88sor7j7Lly/HJZdcgkmTJuHzzz/HpEmTcPHFF+Ojjz5y93nhhRcwbdo0zJgxAytXrsSoUaNw9tlnY8uWLe4+99xzD/785z/jvvvuQ3FxMTp37oxx48a55Zevv/46nn32WRQVFeHuu+/G5MmTsXfvXgBAWVkZZsyY4f6mIyGEEEIIIYQQkggOq9TcMAy8+uqr+OEPf9joPr/61a/wj3/8A2vWrHEfu+GGG/D5559j+fLlAIBLLrkEoVAIb731lrvPWWedhdzcXDz33HMAan+v9qSTTsKDDz7o7jNgwAD88Ic/xKxZs+A4Drp27Ypp06bhV7/6FQCguroahYWFuPvuu3H99dfjnnvuwaeffupe6S4sLMQbb7yBYcOG4brrrsOAAQNwyy23NDcchBBCCCGEEEJIPVr8jifLly/H+PHjYx6bMGECHn/8cYTDYaSkpGD58uX1FrwTJkzA7NmzAQA1NTX45JNP8Otf/zpmn/Hjx2PZsmUAaq+s79y5M+ZYaWlpGDNmDJYtW4brr78egwYNwiOPPIJ9+/Zhw4YNqKysxDHHHIOlS5fi008/jVnUS1RXV6O6utr9f9u2UVpaio4dO8IwjCbHhhBCCCGEEEJIcuI4DsrLy9G1a1eYplxM3uIL7507d6KwsDDmscLCQkQiEezZswddunRpdJ+dO3cCAPbs2QPLssR9ov9taJ/NmzcDqF3MX3755Rg2bBgyMjIwb948ZGZm4sYbb8QTTzyBBx98EH/729/QqVMnPPLIIzjuuOMabNOsWbNw++23NzMihBBCCCGEEEKOFLZu3Yru3buL+7TKb3wcehU4Wt1e9/GG9jn0sUTsM3PmTMycOTPm/88880ykpKTgT3/6E7788ku88cYbuOKKK/DJJ5802J7p06fj1ltvdf9///796NmzJzZt2oTc3FxYlgUACAQCMduRSASGYbjbpmnCNE1327ZtrFixAieddBJSU1MRDocRCARgmibC4TCCwSAMw3C3ASASicRsp6SkwHEcd9u2bViW5W7bto1gMNjotmVZcBwHwWAQ1dXVWLlyJYYOHerGMN42Hbrd3DaFw2GsWLECw4YNg2mazW5TY7mJt01VVVX47LPPMHToUDiO42ueLMtCJBLBZ599hhNPPBHBYNC3PEXbZBgGVqxYgRNPPBHp6em+5anu2CouLsaQIUPcseVHnqLujY2t1s5TtB01NTX4/PPPMXjwYJim6Vueou1wHAcrV67ECSecgPT0dN/yFN12HAcrVqzA4MGDkZaW5lueom2qqanBp59+iqFDh7r92488RdtUWVmJzz//3J0P/cpTdLuh+dCPPEXdATQ6H7ZmnqLtsCwLxcXFGDp0KILBoG95amg+BOBbnoLBYKNjy488GYbhjq0hQ4YAgK95ikQisCwLn332GQYNGoTU1FTf8tTY2PIrT9HtSCSCFStWxIwtP/IUbVPdz6qNja3WXGtEP2uceOKJCAQCvuUp2g4A+OSTTzBo0CBkZGQ0O08VFRXo0aMHsrOz4UWLf8d79OjRGDx4MP7617+6j7366qu4+OKLUVFRgZSUFPTs2RO33HJLTLn5X/7yF8yePRubN29GTU0N2rVrh5deegkXXHCBu8/Pf/5zfPbZZ/jggw+wYcMG9OnTB59++ikGDx7s7nP++eejQ4cOmDdvXj23tWvX4txzz8XKlSsxZ84cLF26FC+++CIOHDiArKws7N+/Hzk5OZ5xCIVCaN++fZP3J4QQQgghhBCS3MSzDoz7rubxMmLECCxcuDDmsaKiIgwdOhQpKSniPiNHjgQApKamYsiQIfX2WbhwobtP79690blz55h9ampq8MEHH7j71MVxHFx33XW49957kZWVBcuyEA6HAcD9b/RsWmthWRa++eYb9yyP32jy0eQC0McL+sjQR4Y+MvSRoY8MfZLDBaCPF/SRoY+MHz5xL7y/++47fPbZZ/jss88A1N7U7LPPPnN/1mv69Om44oor3P1vuOEGbN68GbfeeivWrFmDOXPm4PHHH8d///d/u/v8/Oc/d3/ia+3atbj77rvx7rvvYtq0ae4+t956Kx577DHMmTMHa9aswS233IItW7bghhtuAFB79X3atGm466678Oqrr2LVqlW46qqr0K5dO1x22WX12vHoo4+ioKAA5513HgDg1FNPxaJFi/Dhhx/iL3/5C4499lh06NAh3vAcFo7jYN++fTiMIoSEoslHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EeGPjK++Dhx8t577zkA6v1deeWVjuM4zpVXXumMGTMm5jnvv/++M3jwYCc1NdU56qijnAcffLDe67700ktOv379nJSUFKd///7OK6+8Um+f+++/3+nVq5eTmprqnHTSSc4HH3wQ8++2bTt/+MMfnM6dOztpaWnO6NGjnS+//LLe6+zcudPp1auXs23btpjHb7/9dicvL8/p37+/89FHHzU5Jvv373cAOPv372/ycwghhBBCCCGEJC/xrAMP6zvepJZEfcfbsiysW7cOffv2RSAQSKBh8vtocqEPfehDH/rQhz5Hno8mF/rQhz7J4aPqO94kPiorK/1WiEGTjyYXgD5e0EeGPjL0kaGPDH1k6NM4mlwA+nhBHxn6yLS2D694JwDe1ZwQQgghhBBC2ha84p2kWJaFVatWqbrbnxYfTS4Afbygjwx9ZOgjQx8Z+sjQJzlcAPp4QR8Z+sj44cOFNyGEEEIIIYQQ0oKw1DwBsNScEEIIIYQQQtoWLDVPUizLwsqVK1WVYGjx0eQC0McL+sjQR4Y+MvSRoY8MfZLDBaCPF/SRoY+MHz5ceCsjIyPDb4UYNPlocgHo4wV9ZOgjQx8Z+sjQR4Y+jaPJBaCPF/SRoY9Ma/uw1DwBsNScEEIIIYQQQtoWLDVPUiKRCIqLixGJRPxWAaDLR5MLQB8v6CNDHxn6yNBHhj4y9EkOF4A+XtBHhj4yfvhw4a0IwzCQm5sLwzD8VgGgy0eTC0AfL+gjQx8Z+sjQR4Y+MvRJDheAPl7QR4Y+Mn74sNQ8AbDUnBBCCCGEEELaFiw1T1IikQiWLVumqgRDi48mF4A+XtBHhj4y9JGhjwx9ZOiTHC4Afbygjwx9ZPzw4cJbEaZpolu3bjBNHWnR5KPJBaCPF/SRoY8MfWToI0MfGfokhwtAHy/oI0MfGT98WGqeAFhqTgghhBBCCCFtC5aaJymRSASLFy9WVYKhxUeTC0AfL+gjQx8Z+sjQR4Y+MvRJDheAPl7QR4Y+Mn74cOGtCNM00adPH1UlGFp8NLkA9PGCPjL0kaGPDH1k6CNDn+RwAejjBX1k6CPjhw9LzRMAS80JIYQQQgghpG3BUvMkJRKJYNGiRapKMLT4aHIB6OMFfWToI0MfGfrI0EeGPsnhAtDHC/rI0EfGDx8uvBVhmiYGDhyoqgRDi48mF4A+XtBHhj4y9JGhjwx9ZOiTHC4Afbygjwx9ZPzwYal5AmCpOSGEEEIIIYS0LVhqnqSEw2G88847CIfDfqsA0OWjyQWgjxf0kaGPDH1k6CNDHxn6JIcLQB8v6CNDHxk/fHjFOwEk6oq3bdsoKytDhw4dVJRhaPLR5EIf+tCHPvShD32OPB9NLvShD32SwyeedSAX3gmApeaEEEIIIYQQ0rZgqXmSEg6H8eabb6oqwdDio8kFoI8X9JGhjwx9ZOgjQx8Z+iSHC0AfL+gjQx8ZP3x4xTsBJOqKt+M4KC8vR3Z2NgzDSKBh8vtocqEPfehDH/rQhz5Hno8mF/rQhz7J4cNS81aGpeaEEEIIIYQQ0rZgqXmSEg6HMX/+fFUlGFp8NLkA9PGCPjL0kaGPDH1k6CNDn+RwAejjBX1k6CPjhw+veCeARJaaV1VVIT09XU0JhhYfTS70oQ996EMf+tDnyPPR5EIf+tAnOXx4xTuJCQaDfivEoMlHkwtAHy/oI0MfGfrI0EeGPjL0aRxNLgB9vKCPDH1kWtuHC29FRCIRLFiwAJFIxG8VALp8NLkA9PGCPjL0kaGPDH1k6CNDn+RwAejjBX1k6CPjhw9LzRNAIkvNI5EIgsGgmhIMLT6aXOhDH/rQhz70oc+R56PJhT70oU9y+LDUPInRchYoiiYfTS4Afbygjwx9ZOgjQx8Z+sjQp3E0uQD08YI+MvSRaW0fLrwVEYlEUFRUpKZTavLR5ALQxwv6yNBHhj4y9JGhjwx9ksMFoI8X9JGhj4wfPiw1TwD8HW9CCCGEEEIIaVuw1DxJcRwHoVAIWs6FaPLR5ALQxwv6yNBHhj4y9JGhjwx9ksMFoI8X9JGhj4wfPlx4KyISiWDJkiWqSjC0+GhyAejjBX1k6CNDHxn6yNBHhj7J4QLQxwv6yNBHxg8flponAJaaE0IIIYQQQkjbgqXmSYpt2ygtLYVt236rANDlo8kFoI8X9JGhjwx9ZOgjQx8Z+iSHC0AfL+gjQx8ZP3y48FaEZVkoLi6GZVl+qwDQ5aPJBaCPF/SRoY8MfWToI0MfGfokhwtAHy/oI0MfGT98WGqeAFhqTgghhBBCCGkLlJSUIBQKtdrxcnJykJ+f32rHi4d41oHBVnIiTcC2bezZswedOnWCafpfjKDJR5MLfehDH/rQhz70OfJ8NLnQhz5afUpKSnD55CkoLa+I63mGYaB3zx7YuGVr3HcSz8tuh6fnPpbQxbcf+eLCWxG2bWPVqlUYPXq0mgGrxUeTC33oQx/60Ic+9DnyfDS50Ic+Wn1CoRBKyyuQP+JCZOYVNvl5QQM4q5eBtzc7iMSx7j5Qugsly19BKBRK+MK7tfPFUvMEwFJzQgghhBBCyJHO+vXr8ZOrb8BR50xFTkH3Fj9eaPe32PTmA3h+zkPo06dPix8vXnhX8yTFtm1s27ZN1d3+tPhocgHo4wV9ZOgjQx8Z+sjQR4Y+yeEC0McL+sho8zHgoEtKJQzouObrR3y48FaEbdtYv369mgGiyUeTC0AfL+gjQx8Z+sjQR4Y+MvRJDheAPl7QR0abjwkHfdK/g6lo4d3a8WGpeQJgqTkhhBBCCCHkSIel5rGw1DxJsW0bmzdvVnNmSpOPJheAPl7QR4Y+MvSRoY8MfWTokxwuAH28oI+MNh8DDnqmHlBVat7a8eHCWxHavouhyUeTC0AfL+gjQx8Z+sjQR4Y+MvRJDheAPl7QR0abjwkHXVOrVJWat3Z8WGqeAFhqTgghhBBCCDnSYal5LCw1T1Isy8I333wDy7L8VgGgy0eTC0AfL+gjQx8Z+sjQR4Y+MvRJDheAPl7QR0abjwkHR6fpubmaH/HhwlsRjuNg37590FKEoMlHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EdGm48BB3nBGjXf8fYjPiw1TwAsNSeEEEIIIYQc6bDUPBaWmicplmVh7dq1akpCNPlocgHo4wV9ZOgjQx8Z+sjQR4Y+yeEC0McL+sho8zHhoF96SFWpeWvHhwtvZVRWVvqtEIMmH00uAH28oI8MfWToI0MfGfrI0KdxNLkA9PGCPjLafNJNHXdYj9La8WGpeQJgqTkhhBBCCCHkSIel5rGw1DxJsSwLq1atUlMSoslHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EdGm48JB8dl7FdVat7a8eHCmxBCCCGEEEIIaUFYap4AWGpOCCGEEEIIOdJhqXksLDVPUizLwsqVK9WUhGjy0eQC0McL+sjQR4Y+MvSRoY8MfZLDBaCPF/SR0eZjwsGgdmWqSs1bOz5ceCsjIyPDb4UYNPlocgHo4wV9ZOgjQx8Z+sjQR4Y+jaPJBaCPF/SR0eZTZetaerZ2fFhqngBYak4IIYQQQgg50mGpeSwsNU9SIpEIiouLEYlE/FYBoMtHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EdGm08ANoZmliIAHb/l7Ud8uPBWhGEYyM3NhWEYfqsA0OWjyQWgjxf0kaGPDH1k6CNDHxn6JIcLQB8v6COjzceBgdJIKhzo8PEjPiw1TwAsNSeEEEIIIYQc6bDUPBaWmicpkUgEy5YtU1MSoslHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EdGm08ANk7J2quq1Ly148OFtyJM00S3bt1gmjrSoslHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EdGm48NA9tr0mErKTX3Iz4sNU8ALDUnhBBCCCGEHOmw1DwWlponKZFIBIsXL1ZTEqLJR5MLQB8v6CNDHxn6yNBHhj4y9EkOF4A+XtBHRptPADa+n12iqtS8tePDhbciTNNEnz591JSEaPLR5ALQxwv6yNBHhj4y9JGhjwx9ksMFoI8X9JHR5mPDwPqqLFWl5q0dH5aaJwCWmhNCCCGEEEKOdFhqHgtLzZOUSCSCRYsWqSkJ0eSjyQWgjxf0kaGPDH1k6CNDHxn6JIcLQB8v6COjzScAG2NzdqsqNW/t+HDhrQjTNDFw4EA1JSGafDS5APTxgj4y9JGhjwx9ZOgjQ5/kcAHo4wV9ZLT52DCwuiJHVal5a8eHpeYJgKXmhBBCCCGEkCMdlprHwlLzJCUcDuOdd95BOBz2WwWALh9NLgB9vKCPDH1k6CNDHxn6yNAnOVwA+nhBHxltPgHYGNd+p5pScz/iw4W3IgKBAIYNG4ZAIOC3CgBdPppcAPp4QR8Z+sjQR4Y+MvSRoU9yuAD08YI+Mtp8bBhY8V2emlJzP+ITbLUjEU9M00ReXp7fGi6afDS5APTxgj4y9JGhjwx9ZOgjQ5/G0eQC0McL+sho83FgYJ+V6reGix/x4RVvRYTDYbz55ptqSkI0+WhyAejjBX1k6CNDHxn6yNBHhj7J4QLQxwv6yGjzCcLG2R12IKio1Ly148ObqyWARN1czXEclJeXIzs7G4bhfxmGJh9NLvShD33oQx/60OfI89HkQh/6aPVp/s3VHGSbEZTbQSCOcvOWurlaouITzzqQpeaKMAxD1V3RNflocgHo4wV9ZOgjQx8Z+sjQR4Y+jaPJBaCPF/SR0eYDGCi3U/yWcPEjPiw1V0Q4HMb8+fPVlIRo8tHkAtDHC/rI0EeGPjL0kaGPDH2SwwWgjxf0kdHmE4SN83K3qyo1b+34sNQ8ASSy1Lyqqgrp6elqSlS0+GhyoQ996EMf+tCHPkeejyYX+tBHq8/hlJqnGzaqHBNaSs0TER/+jncSEwzqqv7X5KPJBaCPF/SRoY8MfWToI0MfGfo0jiYXgD5e0EdGm0/E8f+ERF1aOz5ceCsiEolgwYIFiEQifqsA0OWjyQWgjxf0kaGPDH1k6CNDHxn6JIcLQB8v6COjzScIBxNzdyIIHcXWfsSHpeYJIJGl5pFIBMFgUE2JihYfTS70oQ996EMf+tDnyPPR5EIf+mj1OZxS8yAcRGBAS6l5IuLDUvMkRstZqSiafDS5APTxgj4y9JGhjwx9ZOgjQ5/G0eQC0McL+sho8wkauq73tnZ8uPBWRCQSQVFRkZpBoslHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EdGm08QDsZ32KWq1Ly148NS8wSQqFJzQgghhBBCCNFK80vNm0dLlZonihYvNX/ggQfQu3dvpKenY8iQIViyZIm4/zPPPINBgwahXbt26NKlCyZPnoy9e/fG7PPKK6/g2GOPRVpaGo499li8+uqrcR/XcRzMnDkTXbt2RUZGBsaOHYvVq1fH7HPrrbciLy8PPXv2xPPPPx/zby+++CLOPffceEKRUBzHQSgUgpZzIZp8NLkA9PGCPjL0kaGPDH1k6CNDn+RwAejjBX1ktPkADrLNMKDkircf8Yl74f3CCy9g2rRpmDFjBlauXIlRo0bh7LPPxpYtWxrcf+nSpbjiiitwzTXXYPXq1XjppZdQXFyMKVOmuPssX74cl1xyCSZNmoTPP/8ckyZNwsUXX4yPPvooruPec889+POf/4z77rsPxcXF6Ny5M8aNG4fy8nIAwOuvv45nn30WRUVFuPvuu2NOAJSVlWHGjBm4//774w1JwohEIliyZImakhBNPppcAPp4QR8Z+sjQR4Y+MvSRoU9yuAD08YI+Mtp8gnDw/Zw9qkrNWzs+cZeaDx8+HCeddBIefPBB97EBAwbghz/8IWbNmlVv///7v//Dgw8+iPXr17uP/e1vf8M999yDrVu3AgAuueQShEIhvPXWW+4+Z511FnJzc/Hcc8816biO46Br166YNm0afvWrXwEAqqurUVhYiLvvvhvXX3897rnnHnz66afule7CwkK88cYbGDZsGK677joMGDAAt9xySzzhAMBSc0IIIYQQQsiRD0vNY2mxUvOamhp88sknGD9+fMzj48ePx7Jlyxp8zsiRI/Htt99iwYIFcBwHu3btwssvv4xzzjnH3Wf58uX1XnPChAnuazbluBs3bsTOnTtj9klLS8OYMWPcfQYNGoQVK1Zg3759+OSTT1BZWYljjjkGS5cuxaeffoqbb765SXGorq5GKBSK+QMAy7Lc/za0HYlEYrZt247Ztm0bJSUl7pmXcDjs7hMOh91SiOi24zj1tgHEbNu2HbMdfe3Gti3Lijl+SUkJbNtudpsO3W5umyzLwu7du904NbdNjbUj3jbV1NRg7969roufebIsC+FwGKWlpQiHw77mKbpt2zb27t2LmpoaX/NUd2zt3r07pm/7kaeobzgcxp49e+qNrdbOU9S3pqYGpaWliEQivuYp6h6JRFBaWorq6mpf8xTdjs7N0df0K091jx+dm/3MU3S7uro6Zj70K0/R7eh8WFNT42ueou62bWPPnj0Nzoetmaeoe3Q+tCzL1zxFt2tqatz50M88RY/T0NjyI0/Af8ZWtF/7madIJBIztvzMU2Njy688Rbejn1Xrji0/8hTP2GpungzDQMrBVaQBBwHYnttBWMgN1CAA233chAPz4BXwxrYDBhAImAnLU7QdlmVh7969qK6uPuw8NZW4Ft579uyBZVkoLCyMebywsBA7d+5s8DkjR47EM888g0suuQSpqano3LkzOnTogL/97W/uPjt37hRfsynHjf5X2mfChAm4/PLLMWzYMFx11VWYN28eMjMzceONN+Lhhx/Ggw8+iH79+uHUU0+t993wusyaNQvt27d3/3r06AEAWLVqFQBgzZo1WLNmDQDgiy++wLp16wAAK1euxMaNGwEAH3/8sXvFf9myZdixYwcsy8Ly5cuxe/duAMCiRYtQVlYGACgqKnJL5hcsWICqqipEIv/54feqqiosWLAAAFBeXo6ioiIAtSX0ixYtcuO4ePFiAMCOHTvcExJbt27Fxx9/DKD2BMbKlSsBAF9//TU++ugjWJbV7DYBwOLFi7Fnz57DatP+/fuxfPlyWJZ1WG1at24dvvjii8PKEwAsWbLEjY3feYq2qbi4GF999ZWveYq2ybIsfPzxx3jvvfd8zVO0TdGxVVpa6nueAOCrr77Chx9+CMuyfM1TtE3vvfceiouLsXv3bl/zFG1TaWkpiouL8e677/qap2ibLMvCRx99hK+//trXPEXbtHv3bnc+9DNP0Ta9++67+Pjjj2FZlq95irbp66+/RnFxse95irYpOh8uX77c1zxF2xSdDw8cOOBrnuq2Kfp+6meeAGD79u3u2PI7TwDw9ttvo7i4GNXV1SrytGHDBhQXF6O4uNjXPEXbFJ2bi4uLfc1TtE3V1dVYvnw5qqurfc1TtE3FxcXu2Ep0njrm5eKCo2t/+7pDIIzT29euXToFqzEqp/a1O6dUYUR27Vd6e6RWYFjWPgzNKkXvtAMYnFl7zL7p5Ti+3X4AwICMEAZk1F7MPL7dfvRNr3UZ2cXA0EEnJCxP0TZVV1ejuLgYb7/99mHnqanEVWq+fft2dOvWDcuWLcOIESPcx++880489dRTWLt2bb3nfPXVVzjzzDNxyy23YMKECdixYwd++ctfYtiwYXj88ccBAKmpqZg3bx4uvfRS93nPPPMMrrnmGlRVVTXpuMuWLcOpp56K7du3o0uXLu4+1157LbZu3eoG9VBmzpyJ/fv3Y/LkyRg/fjy+/PJLvPHGG7jvvvvwySefNPic6upq9+wIUFti0KNHD5SWliI3N9c90xQIBGK2I5EIDMNwt03ThGmajW6Hw2EEAgF3O/oD79FtoPYMT93tlJQUOI7jbkevqEW3bdtGMBhsdDt6li663VA72Ca2iW1im9gmtoltYpvYJraJbWp7bdqyZQsuveZGHPODG5HRqTuMg1enLZhN2jbhwKizDQA2jEa3D5R8i01vPYRnHn0AvXr1UpenioqKJpeaB8V/PYROnTohEAjUu7q9e/fueleao8yaNQunnnoqfvnLXwIATjjhBGRmZmLUqFH405/+hC5duqBz587iazbluJ07dwZQe+W77sJbclu7di2eeeYZrFy5EnPmzMHo0aORn5+Piy++GFdffTVCoVCDAUxLS0NaWlq9xwOBQMx/D92OJrixbdu2UVpaik6dOgEAUlJS3H3i2TYMw92OdsKmbtf1NQwDe/bscePfnDYdut3cNjmOg3379qFTp06H1aambDelHaZpurHxO0+BQAC2XVs6GI1Pc9qUiDxF22Tbthuf5rbJazueNtm27faf5rapqe1oSpsaG1utnaeoLwC3/0Rf3488RR3r9mfDMJrVpkTOEbZd+9WJaP/xK09RXwDue4Wfear7OiUlJU2aD1syT9HthuZDP/IU3Zbmw9bMU3S77nxomqZveYpS9/3UzzxFaWhs+ZGn6GtKY6s18xRdaDR1bLXGZ6NDx5ZfefIaW62dpyhNGVuH87k8bAMZABwYsFD7Xi1t2wDyg1XYE0mDfbDo2j7479K25QCWZddzP9w2Hdp/DidPTSWuvVNTUzFkyBAsXLgw5vGFCxdi5MiRDT6noqKinlS0g0Qvto8YMaLeaxYVFbmv2ZTj9u7dG507d47Zp6amBh988EGDbo7j4LrrrsO9996LrKws9/szAGJq+lsT27axatWqVj9uY2jy0eQC0McL+sjQR4Y+MvSRoY8MfZLDBaCPF/SR0eZjwsFx7ULu1Wy/8SM+cd/V/IUXXsCkSZPw0EMPYcSIEXjkkUfw6KOPYvXq1ejVqxemT5+Obdu24cknnwQAPPHEE7j22mvx//7f/3NLzadNmwbTNN2fC1u2bBlGjx6NO++8E+effz7mz5+P3/72t1i6dCmGDx/epOMCwN13341Zs2Zh7ty56Nu3L+666y68//77+Pe//43s7OyYdjzyyCMoKirCyy+/DKD2OwPjxo3DO++8g7feegsvv/yy+D3vuvCu5oQQQgghhJAjHd7VPJYWu6s5UPvTX7Nnz8Yf//hHnHjiiVi8eDEWLFjgLn537NgR89vaV111lfvb2gMHDsSPf/xj9OvXD3//+9/dfUaOHInnn38ec+fOxQknnIAnnngCL7zwgrvobspxAeC2227DtGnTMHXqVAwdOhTbtm1DUVFRvUX3rl27cNddd+H//b//5z528skn4xe/+AXOOeccvPjii5g7d268oTlsbNvGtm3b1JyZ0uSjyQWgjxf0kaGPDH1k6CNDHxn6JIcLQB8v6COjzceAgy4plTAUXfFu7fjEvfAGgKlTp2LTpk2orq7GJ598gtGjR7v/9sQTT+D999+P2f9nP/sZVq9ejYqKCmzfvh1PP/00unXrFrPPRRddhLVr16KmpgZr1qzBj370o7iOC9TW5s+cORM7duxAVVUVPvjgAwwcOLDe6xQWFmLTpk3o2rVrzOO///3vsXfvXqxZswYnn3xyvGE5bGzbxvr169UMEE0+mlwA+nhBHxn6yNBHhj4y9JGhT3K4APTxgj4y2nxMOOiT/p2qUvPWjk/cpeakPiw1J4QQQgghhBzpsNQ8lhYtNScth23b2Lx5s5ozU5p8NLkA9PGCPjL0kaGPDH1k6CNDn+RwAejjBX1ktPkYcNAz9YCqUvPWjg8X3orQ9l0MTT6aXAD6eEEfGfrI0EeGPjL0kaFPcrgA9PGCPjLafEw46JpaparUvLXjw1LzBMBSc0IIIYQQQsiRDkvNY2GpeZJiWRa++eYbWJbltwoAXT6aXAD6eEEfGfrI0EeGPjL0kaFPcrgA9PGCPjLafEw4ODpNz83V/IgPF96KcBwH+/btg5YiBE0+mlwA+nhBHxn6yNBHhj4y9JGhT3K4APTxgj4y2nwMOMgL1qj5jrcf8WGpeQJgqTkhhBBCCCHkSIel5rGw1DxJsSwLa9euVVMSoslHkwtAHy/oI0MfGfrI0EeGPjL0SQ4XgD5e0EdGm48JB/3SQ6pKzVs7Plx4K6OystJvhRg0+WhyAejjBX1k6CNDHxn6yNBHhj6No8kFoI8X9JHR5pNu6rjDepTWjg9LzRMAS80JIYQQQgghRzosNY+FpeZJimVZWLVqlZqSEE0+mlwA+nhBHxn6yNBHhj4y9JGhT3K4APTxgj4y2nxMODguY7+qUvPWjg8X3oQQQgghhBBCSAvCUvMEwFJzQgghhBBCyJEOS81jYal5kmJZFlauXKmmJESTjyYXgD5e0EeGPjL0kaGPDH1k6JMcLgB9vKCPjDYfEw4GtStTVWre2vHhwlsZGRkZfivEoMlHkwtAHy/oI0MfGfrI0EeGPjL0aRxNLgB9vKCPjDafKlvX0rO148NS8wTAUnNCCCGEEELIkQ5LzWNhqXmSEolEUFxcjEgk4rcKAF0+mlwA+nhBHxn6yNBHhj4y9JGhT3K4APTxgj4y2nwCsDE0sxQB6Pgtbz/iw4W3IgzDQG5uLgzD8FsFgC4fTS4Afbygjwx9ZOgjQx8Z+sjQJzlcAPp4QR8ZbT4ODJRGUuFAh48f8WGpeQJgqTkhhBBCCCHkSIel5rGw1DxJiUQiWLZsmZqSEE0+mlwA+nhBHxn6yNBHhj4y9JGhT3K4APTxgj4y2nwCsHFK1l5VpeatHR8uvBVhmia6desG09SRFk0+mlwA+nhBHxn6yNBHhj4y9JGhT3K4APTxgj4y2nxsGNhekw5bSam5H/FhqXkCYKk5IYQQQggh5EiHpeaxsNQ8SYlEIli8eLGakhBNPppcAPp4QR8Z+sjQR4Y+MvSRoU9yuAD08YI+Mtp8ArDx/ewSVaXmrR0fLrwVYZom+vTpo6YkRJOPJheAPl7QR4Y+MvSRoY8MfWTokxwuAH28oI+MNh8bBtZXZakqNW/t+LDUPAGw1JwQQgghhBBypMNS81hYap6kRCIRLFq0SE1JiCYfTS4Afbygjwx9ZOgjQx8Z+sjQJzlcAPp4QR8ZbT4B2Bibs1tVqXlrx4cLb0WYpomBAweqKQnR5KPJBaCPF/SRoY8MfWToI0MfGfokhwtAHy/oI6PNx4aB1RU5qkrNWzs+LDVPACw1J4QQQgghhBzpsNQ8FpaaJynhcBjvvPMOwuGw3yoAdPlocgHo4wV9ZOgjQx8Z+sjQR4Y+yeEC0McL+sho8wnAxrj2O9WUmvsRHy68FREIBDBs2DAEAgG/VQDo8tHkAtDHC/rI0EeGPjL0kaGPDH2SwwWgjxf0kdHmY8PAiu/y1JSa+xGfYKsdiXhimiby8vL81nDR5KPJBaCPF/SRoY8MfWToI0MfGfo0jiYXgD5e0EdGm48DA/usVL81XPyID694KyIcDuPNN99UUxKiyUeTC0AfL+gjQx8Z+sjQR4Y+MvRJDheAPl7QR0abTxA2zu6wA0FFpeatHR/eXC0BJOrmao7joLy8HNnZ2TAM/8swNPlocqEPfehDH/rQhz5Hno8mF/rQR6tP82+u5iDbjKDcDgJxlJu31M3VEhWfeNaBLDVXhGEYqu6KrslHkwtAHy/oI0MfGfrI0EeGPjL0aRxNLgB9vKCPjDYfwEC5neK3hIsf8WGpuSLC4TDmz5+vpiREk48mF4A+XtBHhj4y9JGhjwx9ZOiTHC4Afbygj4w2nyBsnJe7XVWpeWvHh6XmCSCRpeZVVVVIT09XU6KixUeTC33oQx/60Ic+9DnyfDS50Ic+Wn0Op9Q83bBR5ZjQUmqeiPiw1DyJCQZ1pUSTjyYXgD5e0EeGPjL0kaGPDH1k6NM4mlwA+njRUj4lJSUIhUJxPcdxHNi2DdM0m7WQy8nJQX5+ftzPk9CWr4jj/wmJurR2fHRlo40TiUSwYMECTJw4ESkp/n8HQpOPJhf60Ic+9KEPfehz5PlocqGPfz4lJSW4fPIUlJZXxPW81NQU3HbT9bjnvodRUxN/+XJedjs8PfexhC2+teUrCAcTc3diwb7OiCj4LW8/4sNS8wSQyFLzSCSCYDCopkRFi48mF/rQhz5Np7WvGrTEFYO2lC/60Kct+2hyoY9/PtFS6vwRFyIzrzCu56aYQLgZX2E+ULoLJctfSWg5dUvHpzml5kE4BxfdOkrNExEflponMdEOoAVNPppcAPp4QR+ZtuDT3KsGAJCdlYny7w7E/bxEXzGI0hbydTjQR4Y+Mpp8NLkA9PGiJX0y8wpb5TvMUUrifoY32vIVNBxV5eatHR/e1VwRkUgERUVFiEQifqsA0OWjyQWgjxf0kWkrPqFQCKXlFcgfcSGOOmdqk//6njsVP79uMvqe2/TnHHXOVOSPuBCl5RVxX2H3oq3kq7nQR4Y+Mpp8NLkA9PFCm08QDsZ32IUgdBQTMz4yfsSHpeYJIFGl5oQQciTR/HK05tFS5WiEEELaDq393gUk1/sX39tjiWcdyCveinAcB6FQCFrOhWjy0eQC0McL+sjQxwsH2WYYUHJWXFt86CNDHxn6JIcLQB8vtPnwvcsLxocLb0VEIhEsWbJETUmIJh9NLgB9vKCPDH1kgnDw/Zw9qsrRNMWHPjL0kaFPcrgA9PFCmw/fu2QYH5aaJwSWmhNCSH1YjkYIISTZYKm5DN/bY2GpeZJi2zZKS0th2834HYIWQJOPJheAPl7QR4Y+MgYc5AZqYCg5K64tPvSRoY8MfZLDBaCPF9p8+N4lw/hw4a0Ky7JQXFwMy7L8VgGgy0eTC0AfL+gjQx8ZEw6GZpXCVPLmrC0+9JGhjwx9ksMFoI8X2nz43iXD+LDUPCGw1JwQQurDcjRCCCHJBkvNZfjeHgtLzZMU27axe/duNSUhmnw0uQD08YI+MvSRMeAgP1ilqhxNU3zoI0MfGfokhwtAHy+0+fC9S4bx4cJbFbZtY9WqVWoGiCYfTS4Afbygjwx9ZEw4OK5dSE05mrb40EeGPjL0SQ4XgD5eaPPhe5cM48NS84TAUnNCCKkPy9EIIYQkGyw1l+F7eywsNU9SbNvGtm3b1JyZ0uSjyQWgjxf0kaGPjAEHXVIqVZWjaYoPfWToI0Of5HAB6OOFNh++d8kwPlx4q8K2baxfv17NANHko8kFoI8X9JGhj4wJB33Sv1NVjqYpPvSRoY8MfZLDBaCPF9p8+N4lw/iw1DwhsNScEELqw3I0QgghyQZLzWX43h4LS82TFNu2sXnzZjVnpjT5aHIB6OMFfWToI2PAQc/UA6rK0TTFhz4y9JGhT3K4APTxQpsP37tkGB8uvFWh7bsYmnw0uQD08YI+MvSRMeGga2qVqnI0TfGhjwx9ZOiTHC4AfbzQ5sP3LhnGBwi22pGIJ8FgECNHjvRbw0WTjyYXgD5e0EeGPjIWTHz4XUe/NVy0xYc+MvSRoU/jaHIB6OOFNh++d8kwPrzirQrLsvDNN9/Asiy/VQDo8tHkAtDHC/rI0EfGhIOj0/TcgEVbfOgjQx8Z+iSHC0AfL7T58L1LhvHhwlsVjuNg37590HK/O00+mlwA+nhBHxn6yBhwkBesUfM9MG3xoY8MfWTokxwuAH280ObD9y4Zxoel5qoIBoMYNmyY3xoumnw0uQD08YI+MvSRsWBixYE8vzVctMWHPjL0kaFP42hyAejjhTYfvnfJMD684q0Ky7Kwdu1aNSUhmnw0uQD08YI+MvSRMeGgX3pIVTmapvjQR4Y+MvRJDheAPl5o8+F7lwzjw4W3OiorK/1WiEGTjyYXgD5e0EeGPjLppo67sEbRFh/6yNBHhj6No8kFoI8X2nz43iXT1uPDUnNFBAIBDB482G8NF00+mlwA+nhBHxn6yNgw8HlFB781XLTFhz4y9JGhT+NocgHo44U2H753yTA+vOKtCsuysGrVKjUlIZp8NLkA9PGCPjL0kTHh4LiM/arK0TTFhz4y9JGhT3K4APTxQpsP37tkGB8uvAkhhBBCCCGEkBaFpeaKCAQCGDhwoN8aLpp8NLkA9PGCPjL0kbFhYHVle781XLTFhz4y9JGhT+NocgHo44U2H753yTA+vOKtCsuysHLlSjUlIZp8NLkA9PGCPjL0kTHhYFC7MlXlaJriQx8Z+sjQJzlcAPp4oc2H710yjA8X3urIyMjwWyEGTT6aXAD6eEEfGfrIVNm63p60xYc+MvSRoU/jaHIB6OOFNh++d8m09fiw1FwRgUAA/fv391vDRZOPJheAPl7QR4Y+MjYM/Lsqx28NF23xoY8MfWTo0ziaXAD6eKHNh+9dMowPr3irIhKJoLi4GJFIxG8VALp8NLkA9PGCPjL0kQnAxtDMUgSg4/c+tcWHPjL0kaFPcrgA9PFCmw/fu2QYHy68VWEYBnJzc2EYht8qAHT5aHIB6OMFfWToI+PAQGkkFQ50+GiLD31k6CNDn+RwAejjhTYfvnfJMD4sNVdFIBDAMccc47eGiyYfTS4Afbygjwx9ZGwY2FCd5beGi7b40EeGPjL0aRxNLgB9vNDmw/cuGcaHV7xVEYlEsGzZMjUlIZp8NLkA9PGCPjL0kQnAxilZe1WVo2mKD31k6CNDn+RwAejjhTYfvnfJMD5ceKvCNE1069YNpqkjLZp8NLkA9PGCPjL0kbFhYHtNOmwl5Wja4kMfGfrI0Cc5XAD6eKHNh+9dMowPS81VYZomevXq5beGiyYfTS4Afbygjwx9ZBwY2FKT6beGi7b40EeGPjL0aRxNLgB9vNDmw/cuGcaHV7xVEYlEsHjxYjUlIZp8NLkA9PGCPjL0kQnAxvezS1SVo2mKD31k6CNDn+RwAejjhTYfvnfJMD5ceKvCNE306dNHTUmIJh9NLgB9vKCPDH1kbBhYX5WlqhxNU3zoI0MfGfokhwtAHy+0+fC9S4bxYam5KqLfNdCCJh9NLgB9vKCPDH1kHBjYEc7wW8NFW3zoI0MfGfo0jiYXgD5eaPPhe5cM48Mr3qqIRCJYtGiRmpIQTT6aXAD6eEEfGfrIBGBjbM5uVeVomuJDHxn6yNAnOVyAlvUpKSnB+vXr4/r7+uuv8fbbb+Prr7+O+7nr169HSUlJQtugLV9875JhfHjFWxWmaWLgwIFqSkI0+WhyAejjBX1k6CNjw8DqihxV5Wia4kMfGfrI0Cc5XICW8ykpKcHlk6egtLwirucZhoHePXtg45atcBwn7uPmZbfD03MfQ35+ftzPbQht+eJ7lwzjw4W3KkzTREFBgd8aLpp8NLkA9PGCPjL0kXFgoCSS7reGi7b40EeGPjL0aRxNLkDL+YRCIZSWVyB/xIXIzCuM67k2gF4D4z/mgdJdKFn+CkKhUEIX3pryxfcuGcaHpeaqCIfDeOeddxAOh/1WAaDLR5MLQB8v6CNDH5kAbIxrv1NNOZq2+NBHhj4y9EkOF6DlfTLzCpFT0L3Jf7kFXXFh3yByC7rG9bycgu5xL/CbgrZ88b1LhvHhwlsVgUAAw4YNQyAQ8FsFgC4fTS4Afbygjwx9ZGwYWPFdnppyNG3xoY8MfWTokxwugD4fzs0yjI8M48NSc1WYpom8vDy/NVw0+WhyAejjBX1k6CPjwMA+K9VvDRdt8aGPDH1k6NM4mlwAfT6cm2UYHxnGh1e8VREOh/Hmm2+qKQnR5KPJBaCPF/SRoY9MEDbO7rADQUXlaJriQx8Z+sjQJzlcAH0+nJtlGB8ZxocLb1UEg0GMGjUKwaCOQgRNPppcAPp4QR8Z+shEYGBpqBMiSsrRtMWHPjL0kaFPcrgA+nw4N8swPjKMD0vNVWEYBnJycvzWcNHko8kFoI8X9JGhjxcGyu0UvyVctMWHPjL0kaFP42hyAfT5cG72gvGRYXyadcX7gQceQO/evZGeno4hQ4ZgyZIl4v7V1dWYMWMGevXqhbS0NPTp0wdz5syJ2eeVV17Bsccei7S0NBx77LF49dVX4z6u4ziYOXMmunbtioyMDIwdOxarV6+O2efWW29FXl4eevbsieeffz7m31588UWce+658YQioYTDYcyfP19NSYgmH00uAH28oI8MfWSCsHFe7nZV5Wia4kMfGfrI0Cc5XAB9PpybZRgfGcanGQvvF154AdOmTcOMGTOwcuVKjBo1CmeffTa2bNnS6HMuvvhi/POf/8Tjjz+Of//733juuefQv39/99+XL1+OSy65BJMmTcLnn3+OSZMm4eKLL8ZHH30U13Hvuece/PnPf8Z9992H4uJidO7cGePGjUN5eTkA4PXXX8ezzz6LoqIi3H333Zg8eTL27t0LACgrK8OMGTNw//33xxuShBEMBjF+/Hg1JSGafDS5APTxgj4y9JGJwEBRWaGqcjRN8aGPDH1k6JMcLoA+H87NMoyPDOPTjIX3n//8Z1xzzTWYMmUKBgwYgNmzZ6NHjx548MEHG9z/7bffxgcffIAFCxbgzDPPxFFHHYWTTz4ZI0eOdPeZPXs2xo0bh+nTp6N///6YPn06zjjjDMyePbvJx3UcB7Nnz8aMGTPwox/9CAMHDsS8efNQUVGBZ599FgCwZs0ajB07FkOHDsWll16KnJwcbNiwAQBw2223YerUqejZs2e8IUkoWgZHFE0+mlwA+nhBHxn6yEQcHW/MUbTFhz4y9JGhT+NocgH0+XBulmF8ZNp6fOJaeNfU1OCTTz7B+PHjYx4fP348li1b1uBz/vGPf2Do0KG455570K1bN3zve9/Df//3f6OystLdZ/ny5fVec8KECe5rNuW4GzduxM6dO2P2SUtLw5gxY9x9Bg0ahBUrVmDfvn345JNPUFlZiWOOOQZLly7Fp59+iptvvrlJcaiurkYoFIr5AwDLstz/NrQdiURitm3bjtmORCJYsGABampqANSWQET3CYfDcBwnZttxnHrbAGK2bduO2Y5EIuK2ZVnudnV1NRYsWOB6N6dNh243t03hcNh1OZw2NdaOeNtUVVXl+vidJ8uy3FxVV1f7mqfodrQvV1VV+ZonaWz5kaeob2Njq7XzFPWN9ueampqE5ykYDMI8+D4bgA0Djud2CmxMzN2JdFjAwcdrS9McAE4D2wDgIOXgO9qh7TvcNkX7T3V1ta95im7X1NTEzIetPZ4ObVNlZWXMfNja4+nQ7YbmQz/yFHWX5sPWzFPUPeoT/X+/8tTQfOhnnoDGx5YfeQL+M7bC4XDC8xQImAgcnJtNODAPzrWNbQdgI/Xg3JwGq0lzuVFn/o4utyzLStgccejYSlSebNuGaZqebTr0/Sl4MD51/7+W/2wbcBBocBtIObgITFTfq/tZNdHjyTAM9z238TbFbqfBwsTcnUiF7T7epL5n1PbXQ90Pt03RtUV0TXo446mpxLXw3rNnDyzLQmFhYczjhYWF2LlzZ4PP2bBhA5YuXYpVq1bh1VdfxezZs/Hyyy/jv/7rv9x9du7cKb5mU44b/a+0z4QJE3D55Zdj2LBhuOqqqzBv3jxkZmbixhtvxMMPP4wHH3wQ/fr1w6mnnlrvu+F1mTVrFtq3b+/+9ejRAwCwatUqALVX1tesWQMA+OKLL7Bu3ToAwMqVK7Fx40YAwMcff4ytW7cCAJYtW4YdO3YgGAwiKysLZWVlAIBFixa520VFRW7JfHSSiU44kUjEHVwAUF5ejqKiIgC1JfSLFi1y47h48WIAwI4dO9wTElu3bsXHH38MoPYExsqVK93t7t27IxgMNrtNALB48WLs2bPnsNpUWVmJYDCIYDB4WG1at24dvvjii8PKE1B7smjYsGEIBoO+52ndunVYs2YNJk6c6G77ladom4LBIEaMGOG2w688RdsUDAaRnp6O7777ztc8Rdu0bt06HHXUUQgGg77mKdqmxYsXY+LEie52IvN03llnol8HAACGZe1Dj9QKAMCI7L3onFL7YWlUzh50CtYuak9vvxtZgQgW7OuM0zqUINusfVObmLsT6YaNIJyDH2wcpBu1H3IAINuM4IKjaz/aVVZWJnSOCAaD6N69u5sbv/IUbVNZWRmysrIQDAZ9GU+Htum9995z7wzrx3g6tE0bN27ExIkT3W2/8hRtUzAYxODBg1FcXOxrnqJtil7hqbtw8SNP0TZ98cUX6N+/P4LBoK95im536NABwWDQ9zwBwMKFC3Haaae57UtknoYOOgEju9TOmX3Ty3F8u/0AgAEZIQzIqL2gdHy7/eibXusyOLMM3dMqsGBfZwzOKmvSXN4hULtwGddhF3IO/nzzmjVrEjZHBINBHH/88TGfWxORp40bN6Jfn96ebTr0/akuh74/jeuwCwDQIRDG6e13AwA6BasxKqe2D/TIAn560Q/r5elw2rRy5Uocf/zxCAaDCR9PHfNy3ffcxtrUOaUKI7Jrv9LbI7UCg7PKsGBfZ3RPq8DgzNpjNqXvjexiYOigE+rl6XDbBACnnXYaFi5cCODwxlNTMZzoaYAmsH37dnTr1g3Lli3DiBEj3MfvvPNOPPXUU1i7dm2954wfPx5LlizBzp070b59ewDA3//+d1x00UU4cOAAMjIykJqainnz5uHSSy91n/fMM8/gmmuuQVVVVZOOu2zZMpx66qnYvn07unTp4u5z7bXXYuvWrXj77bcbbNPMmTOxf/9+TJ48GePHj8eXX36JN954A/fddx8++eSTBp9TXV3tXvkAgFAohB49eqC0tBS5ubnumaZAIBCzHYlEYBiGu22aJkzTdLcNw8B3332Hdu3aIRAIIBwOIxAIwDRNhMNhBINBGIbhbgO1b5x1t1NSUtwz2ikpKbBtG5Zludu2bSMYDDa6HT0TGQwG3UGWmZnpnjmKt02Hbje3TbZt48CBA8jKyoLjOM1uU2O5ibdN4XAYNTU1aNeuHSKRiK95im6Hw2GkpKS47n7kKdqmYDCIiooKpKam+ponaWz5kae67g2NrdbOU902RSIRpKamur6JyNOmTZtw+XU3oedZ1yErvzsCsA9eLzA8toE0w0HEASIwARgIwna/FxaEc8i2CcBB5Z5tWPf6A3ju8QfRq1evhPU90zRx4MABpKenu3OjX3lKSUmBZVmoqKhw58PWHk+HtilaKZGRkVGvHa0xng7djs6HwWAQpmn6lqeoeyAQaHQ+bM081W3Hd999h8zMTBiG4Vueott1308ty/ItT1HfhsaWH3kyDMMdW+np6bAsK2F52rx5M3567VQcdfYNyMzv7l5ZtGE0uh2ADQdAquEg7AA2zCbM5bXbQdjYt3s7Nr75AJ559H707ds3IXPEoWMrUXlat25d7XvX2Tcgt6Bro22qfR+qu+0g07BwwAkcfPw/70/RbePglVzrkO3y3d/i23cewVOP3IfevXsnpO81ZWw1Zzxt2bIFl15zI475wY3I6NS90TbV37aRYgA1jgEDgAWzSX3vQMm32PTWQ3jm0QfQq1evhM0RgUAAVVVVCAaD7uef5oyniooKtG/fHvv37/e8S3pcV7w7deqEQCBQ7+r27t27611pjtKlSxd069bNXXQDwIABA+A4Dr799lsAQOfOncXXbMpxO3fuDABxua1duxbPPPMM7rjjDrz//vsYPXo08vPzcfHFF+PTTz91S8gPJS0tDTk5OTF/QG2Hj/63oe1gMBizHS1jiW5HIhEsWrTI/SCekpLi7hNdUNXdNgyj3jaAmG3TNGO2ox2use1AIOBuO46Df/7zn27nbE6bDt1ubpssy8KiRYvcgdXcNjXWjnjbBADvvvuuO0D9zFMgEIDjOCgqKoLjOL7mKbodiUTw7rvvurHyK0/S2PIjT1HfxsZWa+cp6gvUnhWOvpkkMk+RSAT2wdO71sEPal7bAQDjO+wCDn6oAf6zAAeMBrYBwED44AWHQ9t3uG2KRCL45z//6Zar+ZWn6LZt2zHzYWuPp0PbZBgGFi5c6M6HrT2eDt2OzofR//crT1F3aT5szTxF3aPzoWVZvuYpug385/3UzzwBjY8tP/IUdV64cKG7AEhknizLhnVwbrZhuMXgjW3XLpJq52bj4OIz+rjXdsRdRtXGKVFzxKFjK1F5Mk3T/bwgtenQ96cggDM6lBz8rebY96fotgMDVoPbQDgSqdfWw2kT4D22mjueHMdx33Mbb1PstgED4zvsgnkwlkAT+55T218PdT/cNlmWhYULF8aMt+aOp6YS18I7NTUVQ4YMcS/JR1m4cGHMzdLqEr0KHS3xBICvv/4apmmie/fuAIARI0bUe82ioiL3NZty3N69e6Nz584x+9TU1OCDDz5o0M1xHFx33XW49957kZWVBcuyYr5PDMAddK1FSkoKzj//fDfRfqPJR5MLQB8v6CNDH5kITPxjX9c6H1r8RVt86CNDHxn6JIcLoM+Hc7MM4yPD+ABx38rt1ltvxaRJkzB06FCMGDECjzzyCLZs2YIbbrgBADB9+nRs27YNTz75JADgsssuwx133IHJkyfj9ttvx549e/DLX/4SV199NTIyMgAAP//5zzF69GjcfffdOP/88zF//ny8++67WLp0aZOPaxgGpk2bhrvuugt9+/ZF3759cdddd6Fdu3a47LLL6rXj0UcfRUFBAc477zwAtScIZs6ciQ8//BBvvfUWjj32WHTo0CHe8BwWjuOgvLwc2dnZ7tkXP9Hko8mFPvShT0vjINuMoNwOInpFwVcbZfFpKz4lJSWNVp55+VRXVyMtLS1un5ycHOTn58d9TC+ftpCvI8FHk4tGH87NXjA+MoxP3AvvSy65BHv37sUf//hH7NixAwMHDsSCBQvQq1cvALVfOq/729pZWVlYuHAhfvazn2Ho0KHo2LEjLr74YvzpT39y9xk5ciSef/55/Pa3v8Xvfvc79OnTBy+88AKGDx/e5OMCtT8JVllZialTp2Lfvn0YPnw4ioqKkJ2dHdOGXbt24a677oq5E/vJJ5+MX/ziFzjnnHNQUFCAefPmxRuawyYSiWDJkiUYP368irNTmnw0udCHPvRpWYJw8P2cPVio5Pc+tcWnLfiUlJTg8slTUFpeEfdzU1NT8PNrJ+Ovj85FTU04rufmZbfD03MfS+jiuy3k60jx0eSi0YdzswzjI8P4xHlzNdIwoVCoyV+qJ4SQtsL69evxk6tvwFHnTEVOQfcWP15o97fY9OYDeH7OQ+jTp0+LH4+0HNG+kz/iQmTmNXyflkRzoHQXSpa/wv5Djnhae24Gkmt+Znxk+N4eSzzrQF2/qt7GsW0bZWVl6NChQ8xNvOijy4U+9KFPy2LAQYdAGGVWinsjGz/RFp+25JOZVxj3B7vD6T8lce3dNNpSvpLdR5OLRh/OzTKMjwzjE+fN1UjLYlkWiouL3Z8F8BtNPppcAPp4QR8Z+siYcDA0q7TOfXD9RVt86CPD/iNDn+RwAfT5cGzJMD4yjA+veKsiJSUFEyZM8FvDRZOPJheAPl7QR4Y+MhZMLNzf2W8NF23xoY8M+48MfRpHkwugz4djS4bxkWF8eMVbFbZtY/fu3a3+M2aNoclHkwtAHy/oI0MfGQMO8oNVMJScFdcWH/rIsP/I0Cc5XAB9PhxbMoyPDOPDhbcqbNvGqlWr1AwQTT6aXAD6eEEfGfrImHBwXLuQmnI0bfGhjwz7jwx9ksMF0OfDsSXD+MgwPiw1V0UwGMTpp5/ut4aLJh9NLgB9vKCPDH1kLJh4P1Tgt4aLtvjQR4b9R4Y+jaPJBdDnw7Elw/jIMD684q0K27axbds2NWemNPlocgHo4wV9ZOgjY8BBl5RKVeVomuJDHxn2Hxn6JIcLoM+HY0uG8ZFhfLjwVoVt21i/fr2aAaLJR5MLQB8v6CNDHxkTDvqkf6eqHE1TfOgjw/4jQ5/kcAH0+XBsyTA+MowPS81VEQwGMXr0aL81XDT5aHIB6OMFfWToI2PBxNLyfL81XLTFhz4y7D8y9GkcTS6APh+OLRnGR4bx4cJbFbZtY+vWrejRo4eKH7rX5KPJhT70oU/LYsBBj9QKbK1pBweG3zrq4tNSPiUlJQiFQs3yKSsrQ4cOHeL2ycnJQX5+Yj+Isf/Q50hw0ejDsSXD+MgwPlx4qyL6XYNu3bqpGCCafDS50Ic+9GlZTDjomlqFbTUZsJS8OWuKT0v4lJSU4PLJU1BaXhH3c1OCQVx03kS8/I8FCEcicT03L7sdnp77WEIX3+w/9DkSXDT6cGzJMD4yjA8X3qoIBoMYOXKk3xoumnw0uQD08YI+MvSRsWDiw+86+q3hoi0+LeETCoVQWl6B/BEXIjOvMO7nL68Guk24Lq7nHCjdhZLlryAUCiV04c3+I0OfxtHkAujz4diSYXxkGB/eXE0VlmXhm2++gWVZfqsA0OWjyQWgjxf0kaGPjAkHR6fpuQGLtvi0pE9mXiFyCrrH9dehoBtO7NEBHQq6xfW85izwmwL7jwx9ksMF0OfDsSXD+MgwPlx4q8JxHOzbtw+Oo6NDavLR5ALQxwv6yNBHxoCDvGCNmp8c0RYfbT7a8qXNR1u+6JMcLoA+H44tGcZHhvFhqbkqgsEghg0b5reGiyYfTS4Afbygjwx9ZCyYWHEgz28NF23x0eajLV/afLTliz6No8kF0OfDsSXD+MgwPrzirQrLsrB27Vo1JSGafDS5APTxgj4y9JEx4aBfekhVOZqm+Gjz0ZYvbT7a8kWf5HAB9PlwbMkwPjKMDxfe6qisrPRbIQZNPppcAPp4QR8Z+sikm7bfCjFoi482H2350uajLV/0aRxNLoA+H44tGcZHpq3Hh6XmiggEAhg8eLDfGi6afDS5APTxgj4y9JGxYeDzig5+a7hoi482H2350uajLV/0aRxNLoA+H44tGcZHhvHhFW9VWJaFVatWqSkJ0eSjyQWgjxf0kaGPjAkHx2XsV1WOpik+2ny05Uubj7Z80Sc5XAB9PhxbMoyPDOPDhTchhBBCCCGEENKisNRcEYFAAAMHDvRbw0WTjyYXgD5e0EeGPjI2DKyubO+3hou2+Gjz0ZYvbT7a8kWfxtHkAujz4diSYXxkGB9e8VaFZVlYuXKlmpIQTT6aXAD6eEEfGfrImHAwqF2ZqnI0TfHR5qMtX9p8tOWLPsnhAujz4diSYXxkGB8uvNWRkZHht0IMmnw0uQD08YI+MvSRqbJ1vT1pi482H2350uajLV/0aRxNLoA+H44tGcZHpq3Hh6XmiggEAujfv7/fGi6afDS5APTxgj4y9JGxYeDfVTl+a7hoi482H2350uajLV/0aRxNLoA+H44tGcZHhvHhFW9VRCIRFBcXIxKJ+K0CQJePJhegZX1KSkqwfv36uP7WrVuH9957D+vWrYv7uevXr0dJSUlC29CW8tUc6CMTgI2hmaUIQMfvfWqLjzYfbfnS5qMtX/RJDhdAnw/HlgzjI8P48Iq3KgzDQG5uLgzD8FsFgC4fTS5Ay/mUlJTg8slTUFpeEdfzAgETQwedgBWffwHLin9Cy8tuh6fnPob8/Py4n9sQbSVfzYU+Mg4MlEZS4UCHj7b4aPPRli9tPtryRZ/kcAH0+XBsyTA+MowPF96qCAQCOOaYY/zWcNHko8kFaDmfUCiE0vIK5I+4EJl5hXE9dxeAHl1Gxn3MA6W7ULL8FYRCoYQtvNtKvpoLfWRsGNhQneW3hou2+Gjz0ZYvbT7a8kWfxtHkAujz4diSYXxkGB+WmqsiEolg2bJlakpCNPlocgFa3iczrxA5Bd2b/Jdb0BXjj85AbkHXuJ6XU9A97gV+U2hr+YoX+sgEYOOUrL2qytE0xUebj7Z8afPRli/6JIcLoM+HY0uG8ZFhfLjwVoVpmujWrRtMU0daNPlocgH0+dgwsL0mHbaS8h1t8aGPjDYf9mcZbT7a8qXNR1u+6JMcLoA+H44tGcZHhvFhqbkqTNNEr169/NZw0eSjyQXQ5+PAwJaaTL81XLTFhz4y2nzYn2W0+WjLlzYfbfmiT+NocgH0+XBsyTA+MowPr3irIhKJYPHixWpKQjT5aHIB9PkEYOP72SWqync0xYc+Mtp82J9ltPloy5c2H235ok9yuAD6fDi2ZBgfGcaHC29VmKaJPn36qCkJ0eSjyQXQ52PDwPqqLFXlO5riQx8ZbT7szzLafLTlS5uPtnzRJzlcAH0+HFsyjI8M48NSc1VEv2ugBU0+mlwAfT4ODOwIZ/it4aItPvSR0ebD/iyjzUdbvrT5aMsXfRpHkwugz4djS4bxkWF8eMVbFZFIBIsWLVJTEqLJR5MLoM8nABtjc3arKt/RFB/6yGjzYX+W0eajLV/afLTliz7J4QLo8+HYkmF8ZBgfLrxVYZomBg4cqKYkRJOPJhdAn48NA6srclSV72iKD31ktPmwP8to89GWL20+2vJFn+RwAfT5cGzJMD4yjA9LzVVhmiYKCgr81nDR5KPJBdDn48BASSTdbw0XbfGhj4w2H/ZnGW0+2vKlzUdbvujTOJpcAH0+HFsyjI8M48Mr3qoIh8N45513EA6H/VYBoMtHkwugzycAG+Pa71RTvqMtPvSR0ebD/iyjzUdbvrT5aMsXfZLDBdDnw7Elw/jIMD5ceKsiEAhg2LBhCAQCfqsA0OWjyQXQ52PDwIrv8tSU72iLD31ktPmwP8to89GWL20+2vJFn+RwAfT5cGzJMD4yjA9LzVVhmiby8vL81nDR5KPJBdDn48DAPivVbw0XbfGhj4w2H/ZnGW0+2vKlzUdbvujTOJpcAH0+HFsyjI8M48Mr3qoIh8N488031ZSEaPLR5ALo8wnCxtkddiCoqHxHU3zoI6PNh/1ZRpuPtnxp89GWL/okhwugz4djS4bxkWF8eMVbFcFgEKNGjUIwqCMtLeVTUlKCUCgU13Mcx8FRRx2FzZs3wzDiL1HJyclBfn5+3M9rDG25isDA0lAnRJSU72iLD31ktPmwP8to89GWL20+2vJFn+RwAfT5cGzJMD4yjA8X3qowDAM5OTl+a7i0hE9JSQkunzwFpeUVCX1dL/Ky2+HpuY8lbPGtLVeAgXI7xW8JF23xoY+MNh/2ZxltPtrypc1HW77o0ziaXAB9PhxbXjA+MowPF96KCIfDWLBgASZOnIiUFP87Zkv4hEIhlJZXIH/EhcjMK2zy81JM4JK+Jl5YZyMcZ4XKgdJdKFn+CkKhUMIW3tpyFYSNibk7sWBfZ0QUfINEW3zok1w+7M/J5aMtX9p8tOWLPsnhotGHY0uG8ZFhfLjwVkUwGMT48ePVlIS0pE9mXiFyCrrH8QwHRWU2MjqZyGhGiUpJ3M+Q0ZarCAwUlRWqKt/RFB/6yGjzYX+W0eajLV/afLTliz7J4QLo8+HYkmF8ZBgf3lxNHVoGRxRNPhFHx0CNoik2AOPjBX1ktPmwP8to89GWL20+2vJFn8bR5ALo8+HYkmF8ZNp6fLjwVkQkEsGCBQsQiUT8VgGgyycIBxNzdyIIx28VALpiAzA+XtBHRpsP+7OMNh9t+dLmoy1f9EkOF0CfD8eWDOMjw/hw4a2KYDCIiRMnqjk7pcknAuPgd0J0nCnTFBuA8fGCPjLafNifZbT5aMuXNh9t+aJPcrgA+nw4tmQYHxnGhwtvdWg5KxVFk0/Q0HGGLIqm2ACMjxf0kdHmw/4so81HW760+WjLF30aR5MLoM+HY0uG8ZFp6/HhwlsRkUgERUVFagaJJp8gHIzvsEtVeYqW2ACMjxf0kdHmw/4so81HW760+WjLF338cSkpKcH69evj+lu3bh2Kioqwbt26uJ+7fv16lJQk9tayHFsyjI8M48O7mqsiJSUF559/vt8aLpp8IjDxj31d/dZw0RQbgPHxgj4y2nzYn2W0+WjLlzYfbfmiT+O0lEtJSQkunzwFpeUVCX9tibzsdnh67mMJ+ylVji0ZxkeG8eHCWxWO46C8vBzZ2dkwDP+//6DLx0G2GUG5HQQUfDdEV2wAxoc+R5IP+3Ny+WjLlzYfbfmiT+u7hEIhlJZXIH/EhcjMK2zy8wwAOalAqAZxXyM8ULoLJctfQSgUStjCm2PLC8ZHhvFhqbkiIpEIlixZoqYkRJNPEA6+n7NHVXmKltgAjI8X9JHR5sP+LKPNR1u+tPloyxd9/HPJzCtETkH3Jv/lFnTFWUcFkFvQNa7n5RR0j2uB31Q4tmQYHxnGh1e8VZGSkoJzzjnHbw0XTT4RmHirrIvfGi6aYgMwPl7QR0abD/uzjDYfbfnS5qMtX/RpHE0ugL6+rM2H+ZJhfGT8iA+veCvCtm2UlpbCtm2/VQDo8jHgIDdQA0PJWTJNsQEYHy/oI6PNh/1ZRpuPtnxp89GWL/okhwugry9r82G+ZBgfGT/iw4W3IizLQnFxMSzL8lsFgC4fEw6GZpXCVDJYNcUGYHy8oI+MNh/2ZxltPtrypc1HW77okxwugL6+rM2H+ZJhfGT8iA9LzRWRkpKCCRMm+K3hosnHgomF+zv7reGiKTYA4+MFfWS0+bA/y2jz0ZYvbT7a8kWfxtHkAujry9p8mC8ZxkfGj/jwircibNvG7t271ZSEaPIx4CA/WKWqPEVLbADGxwv6yGjzYX+W0eajLV/afLTliz7J4QLo68vafJgvGcZHxo/4cOGtCNu2sWrVKjUDRJOPCQfHtQupKU/RFBuA8fGCPjLafNifZbT5aMuXNh9t+aJPcrgA+vqyNh/mS4bxkfEjPiw1V0QwGMTpp5/ut4aLJh8LJt4PFfit4aIpNgDj4wV9ZLT5sD/LaPPRli9tPtryRZ/G0eQC6OvL2nyYLxnGR8aP+PCKtyJs28a2bdvUnJnS5GPAQZeUSlXlKVpiAzA+XtBHRpsP+7OMNh9t+dLmoy1f9EkOF0BfX9bmw3zJMD4yfsSHC29F2LaN9evXqxkgmnxMOOiT/p2q8hQtsQEYHy/oI6PNh/1ZRpuPtnxp89GWL/okhwugry9r82G+ZBgfGT/iw1JzRQSDQYwePdpvDRdNPhZMLC3P91vDRVNsgJaNT0lJCUKhUNzP69atGzZv3tysY+bk5CA/P3Ht0ZYv+shwvMto89GWL20+2vJFn8bR5ALo68vafJgvGcZHxo/4cOGtCNu2sXXrVvTo0QOm6X8xgiYfAw56pFZga007ODB8dQF0xQZoufiUlJTg8slTUFpeEdfzTNPECcf2xxdfrW3WmcS87HZ4eu5jCVt8a8sXfWQ43pPLR1u+tPloyxd9ksMF0NeXtfkwXzKMj4wf8eHCWxHR7xp069ZNxQDR5GPCQdfUKmyryYClZLBqiQ3QcvEJhUIoLa9A/ogLkZlX2OTnBQzgpG4Gyo8aCyvOiqIDpbtQsvwVhEKhhC68NeWLPjIc78nloy1f2ny05Ys+yeEC6OvL2nzaUr6aU31o2za2bNmCmpqaZsUn0dWH7D9ceCeWAweAQKDZTw8CGDloEFBdXfvnMy3hY1RUIN2ykFZThdTqyrie+2l1OwRQjXgjnFZThXTLglFRUZujBNBSudIWn6hPXlZ7ZLfvGNfrflEO5ObEKXPQpzxJ8kUfmdbuzy0x1oG2ka/DyRWQ+Hxp8zkc2kL/OVJ8jpS5EGi58cXPYjItEZ+SkhJcc8N/Yd938c+Fh0NuVgYef+j+eotvvrcfQhxOhuM4Or7hnsSEQiG0b98e+wE0Y51BCCGEEEIIISTJCAFoD2D//v3IyZFXgv7XZRBCCCGEEEIIIUcwLDVPJNu3Ax5nOto6GzZswJU3/hy9zroW2fndWuWY5SXbsPntRzHvwb/i6KOPbpVjNhdt8dHmQ5KL1u4/7DvNR9tY1+ZDyOGgrT9r89GGtvi0dR/1fScUArp2bdKuXHgnkszM2r9mYlkW1q1bh759+yJwGN8VTxQt4eO0a4eqQADVqelIS8to8vNMOOibXo51Vdmw47whQ3VqOqoCATjt2h1WfurSUrnSFh9tPs2lLYwtjT6t3X9aou8AbSNfzc0V0DL50uZzOLSF/nOk+BwpcyHA9/bDQVt82rqP+rnZspq8K0vNlVFZ2bo3TvBCk0+62Xo/cN8UNMUG0BcfbT7a8kUfGfYfGW0+2vKlzUdbvujTOJpcAH19WZsP8yVDH5nW7j+84q2IQCCAwYMH+63hosnHhoHPKzr4reGiKTaAvvho89GWL/rIsP/IaPPRli9tPtryRZ/G0eQC6OvL2nyYLxn6yPjRf3jFWxGWZWHVqlWw4ihZaEk0+ZhwcFzGfpjQcRN+TbEB9MVHm4+2fNFHhv1HRpuPtnxp89GWL/okhwugry9r82G+ZOgj40f/4cKbEEIIIYQQQghpQVhqrohAIICBAwf6reGiyceGgdWV7f3WcNEUG0BffLT5aMsXfWTYf2S0+WjLlzYfbfmiT+NocgH09WVtPsyXDH1k/Og/vOKtCMuysHLlSjUlM5p8TDgY1K5MVXmKltgA+uKjzUdbvugjw/4jo81HW760+WjLF32SwwXQ15e1+TBfMvSR8aP/cOGtjIyM+H42paXR5FNl6+qummID6IuPNh9t+aKPDPuPjDYfbfnS5qMtX/RpHE0ugL6+rM2H+ZKhj0xr9x+WmisiEAigf//+fmu4aPKxYeDfVTl+a7hoig2gLz7afLTliz4y7D8y2ny05Uubj7Z80adxNLkA+vqyNh/mS4Y+Mn70H12nHdo4kUgExcXFiEQifqsA0OUTgI2hmaUIQMfv/2mKDaAvPtp8tOWLPjLsPzLafLTlS5uPtnzRJzlcAH19WZsP8yVDHxk/+g8X3oowDAO5ubkwDMNvFQC6fBwYKI2kwoH/LoCu2AD64qPNR1u+6CPD/iOjzUdbvrT5aMsXfZLDBdDXl7X5MF8y9JHxo/+w1FwRgUAAxxxzjN8aLpp8bBjYUJ3lt4aLptgA+uKjzUdbvugjw/4jo81HW760+WjLF30aR5MLoK8va/NhvmToI+NH/+EVb0VEIhEsW7ZMTcmMJp8AbJyStVdVeYqW2AD64qPNR1u+6CPD/iOjzUdbvrT5aMsXfZLDBdDXl7X5MF8y9JHxo//wirciTNNEt27dYJo6zodo8rFhYHtNOmwl5SmaYgPoi482H235oo9MW+k/JSUlCIVCcT/Ptm2kpKRg48aNcTvl5OQgPz8/7mOKPsrypc1H2/iiT3K4APr6sjYf5kuGPjJ+9B8uvBVhmiZ69erlt4aLJh8HBrbUZPqt4aIpNoC++Gjz0ZYv+si0hf5TUlKCyydPQWl5RUJf14u87HZ4eu5jCV18a8uXNh9t44s+jaPJBdDXl7X5MF8y9JHxo/9w4a2IaMnDyJEjEQz6nxpNPgHYGJG9F8vLO8JS8A0JTbEB9MVHm4+2fNFHpi30n1AohNLyCuSPuBCZeYVxPTdgAGf2MPDuVgeW0/TnHSjdhZLlryAUCiV04a0tX9p8tI0v+iSHC6CvL2vzYb7oczj40X/876XExTRN9OnTR03JjCYfGwbWV2WpKk/REhtAX3y0+WjLF31k2lL/ycwrRE5B97ieY8DBJqsKWfnpcd8dtiSuvZuGtnxp89E2vuiTHC6Avr6szYf5kqGPjB/9hwtvRUS/a6AFTT4ODOwIZ/it4aIpNoC++Gjz0ZYv+siw/8hoiw99ZLT1H/o0jiYXQF9f1ubDfMnQR8aP/qPjFBEBUFvysGjRIjV3Z9TkE4CNsTm7Vd0JUUtsAH3x0eajLV/0kWH/kdEWH/rIaOs/9EkOF0BfX9bmw3zJ0EfGj/7TrIX3Aw88gN69eyM9PR1DhgzBkiVLmvS8f/3rXwgGgzjxxBPr/dsrr7yCY489FmlpaTj22GPx6quvxn1cx3Ewc+ZMdO3aFRkZGRg7dixWr14ds8+tt96KvLw89OzZE88//3zMv7344os499xzm9SWlsA0TQwcOFBNyYwmHxsGVlfkqCpP0RIbQF98tPloyxd9ZNh/ZLTFhz4y2voPfZLDBdDXl7X5MF8y9JHxo//EfaQXXngB06ZNw4wZM7By5UqMGjUKZ599NrZs2SI+b//+/bjiiitwxhln1Pu35cuX45JLLsGkSZPw+eefY9KkSbj44ovx0UcfxXXce+65B3/+859x3333obi4GJ07d8a4ceNQXl4OAHj99dfx7LPPoqioCHfffTcmT56MvXv3AgDKysowY8YM3H///fGGJGGYpomCggI1E4gmHwcGSiLxf5+xpdAUG0BffLT5aMsXfWTYf2S0xYc+Mtr6D32SwwXQ15e1+TBfMvSR8aP/xH2kP//5z7jmmmswZcoUDBgwALNnz0aPHj3w4IMPis+7/vrrcdlll2HEiBH1/m327NkYN24cpk+fjv79+2P69Ok444wzMHv27CYf13EczJ49GzNmzMCPfvQjDBw4EPPmzUNFRQWeffZZAMCaNWswduxYDB06FJdeeilycnKwYcMGAMBtt92GqVOnomfPnvGGJGGEw2G88847CIfDvjnURZNPADbGtd+ppjxFU2wAffHR5qMtX/SRYf+R0RYf+sho6z/0SQ4XQF9f1ubDfMnQR8aP/hPXwrumpgaffPIJxo8fH/P4+PHjsWzZskafN3fuXKxfvx5/+MMfGvz35cuX13vNCRMmuK/ZlONu3LgRO3fujNknLS0NY8aMcfcZNGgQVqxYgX379uGTTz5BZWUljjnmGCxduhSffvopbr755ibFobq6GqFQKOYPACzLcv/b0HYkEonZtm07ZjsQCOCkk06CYdSeCQqHw+4+4XAYjuPEbDuOU28bQMy2bdsx29HvMTS2bVlWzHcdTjrpJAQCgWa36dBty7Lc9gVhA3AO2XYa2AZsACu/6wAbBgw47qBtyrZpwP2ZgMbaEW+bHMfB0KFDEQgEEp4nwzAQPHgysNE2HbINACu+y4v5fxOOux2AHbNtxGzDjUHddkS3U1NT3H288hTdtmFgxXe57nGalKc624GAGdNnDrfvBQIBDB48OGZstfZ4qusOAEOGDKk3tuIdT4nqe47jYNiwYTAMo9ltamw7GAzCPNiB6ve9hrcd1PZn82D/AprW91IOvqMd2r7DbVN0bo6SqDylpqa47tJ4AmLHigPg0+9yxfnw0DnCHf+BQINjq3acmHHlKbptwsGKgz5NnSNqfYHUlJQGcxN1NA8eS2rTodtAbf8x6vx/U9oRNNAic0QgEMCQIUPc1zuc8ZSIvhedD03TbNV5r7Ftx3Hc+bA1572G2mQYhvu5pyXyFDDg3Q/rfDb6z9hqaA4EGpsjDDju5wjHcRrMUyBgInBwH2k81R1DQHRsOXHNEcFDPmsk6j330LGVqDzZtu1eBW1KnqLb//msGpsbKU+BOvNhysHPqof2PXc+NBr+jNfY5z0DDj45ODc3NU/RNh36fnpongzDcPdp6udyA477WbUpc7nbJgPu+1Mi5wjTNDF06NCYz/bNnfeaSlwL7z179sCyLBQWxv7maGFhIXbu3Nngc9atW4df//rXeOaZZxr9jbSdO3eKr9mU40b/K+0zYcIEXH755Rg2bBiuuuoqzJs3D5mZmbjxxhvx8MMP48EHH0S/fv1w6qmn1vtueF1mzZqF9u3bu389evQAAKxatQpA7ZX1NWvWAAC++OILrFu3DgCwcuVKbNy4EQDw8ccfY+vWrQCAZcuWYceOHTBNE19++SVKS0sBAIsWLUJZWRkAoKioyC2ZX7BgAaqqqhCJRLBgwQJEIhFUVVVhwYIFAIDy8nIUFRUBqC2hX7RokRvHxYsXAwB27NjhnpDYunUrPv74YwC1JzBWrlwJAFi/fj2+/fZbmKbZ7DYBwOLFi7Fnzx4Atf2ha+faHI3rsAvZZm2HnZi7E+mGjSAcTMzdiSAcpBs2JubW5i7LtDAsex8cGOgQCOP09rsBAJ2C1RiVU/vanVOqMCK79qsDPVIrMCxrHwCgXwfgvLPOdI//xRdfHFaeAGDp0qWwLAumaSY8T7179sBZvQyxTUelHcDgzNpj9k0vx8B2IeyzUtE/oxwDMmpPBB3fbj/6pte6DM4sw1FpBwAAw7L2oUdqBQBgRPZe9MgCAGDDhg1unuq26efXTkZOKpqUp2wzgnEddh0sIzJwWvuSJuepbptOPXmoG+tE9D3TNLFy5Ur3JJkf46lu3/v3v/+NnTt3wjTNwxpPiep77733HvLy8lBaWtrsNjWWp/POOhP9OtT2n0P7XueUKgDAqJw96BSsBgCc3n432gci2Gel4swOu5s8R2SbEVxwdO24qaysTEieom0yTRPffvst1q9fn9A83XbT9WgXhOd4AhAz73UM1uD4zP1wYDR5jji+3X4AwGnfH4Fdu3bVy9O3336LoYNOiCtPHQK1H0rO7LAbEceEA6PJcwQAdEwHbrjqpw3mKRrfo9vDs00DMkIx894x6d9hn5WKE4V5r6E2ndvbcN+fEjlHmKaJ6upqfPjhhwAObzwlou+Zponly5ejpqamVee9xtr0+eefo6ysDKZptuq811Cbdu3a5Y75ROYp6ntmD8NzPNX9bHR27i5U2kEEgLjmiE7BavdzRCgUajBPQwedgJFdaveRxlPdzxG90iqwz0rF0KyyuOaIcR12uZ8j1qxZk7D3XNM0ceDAAaxYsSIheYr2vY0bN6Jfn95NzlN03gsAGJlTigDQ5DxFPxv1yAJ+etEP6+Vp48aN+PbbbwEAA/OMJuUpOu8NzSpDViACB0aT8xRt0yV9TWRnZcK27Qbz1DEv133Pbern8qFZZdhnpaJXWkWT5vJom0Z2Mdz3p0TOEbZto127dnj77bcBHN6811QMJ3oaoAls374d3bp1w7Jly2JKxu+880489dRTWLt2bcz+lmXhlFNOwTXXXIMbbrgBADBz5ky89tpr+Oyzz9z9UlNTMW/ePFx66aXuY8888wyuueYaVFVVNem4y5Ytw6mnnort27ejS5cu7j7XXnsttm7d6gb1UGbOnIn9+/dj8uTJGD9+PL788ku88cYbuO+++/DJJ580+Jzq6mpUV1e7/x8KhdCjRw+UlpYiNzfXPXsWvZoV3Y5EIjAMw902TROmabrblmXhnXfewbhx45CWloZwOIxAIADTNBEOhxEMBmEYhrsN1J7hqbudkpLint1MSUmBbduwLMvdtm0bwWCw0e3omchgMIiqqiq8++67mDBhwn/O/MXZpkO3v/76a1x+3U3oNfFG5BV0ReTgAi0I++B27YfQ2G0TQVgY12EXFpZ1hgUDJhxYMGEcPCMmbX9X8i22vP0Inn7kPhx11FENtiPeNlVWVuKf//wnJkyY4D4vEXnasmULLr3mRvQ550a0y+/eaJvMg2cOo9tB2Dijw278s6wAEZiwD8YIgHum04HhbtsHzz0GYKNs93ZsfPMBPPPo/TjmmGPcdgQCAWzcuBFX3PAzdBt3LbILunvmqfasbu1xx3XYiUVlBahGsEl5irZp3+7t2Pr2Q3jq4fvQt2/fw8qTNLZaezzVdW9sbMU7nhI1R1RXV2PRokU488wzEQgEmtWmhrY3bdqEy6+7CT3Pug5Z+d3r9b3Gtk04OLPDbrxXlo8qBJo0RwAOKvdsw7rXH8Bzjz+IXr16HXae6l4Nfuedd3DmmWciPT09IXnasGEDrrjhZ+g67lrkFHQTx1PkkLGSAgtnesyHh84RAFC2exu2vv0wnnr4b/XG1rp16zDp+pvQ46wbkFvQtUl5im6nI4LTOuzGwrLOtf2sCXNEBCbKd3+LbUWP4smH/4bevXvH5Gb9+vW4bMpUHH3OVLQv6Npomw6d6xqbD5vSjoqSb7H+zQfx3OMPomfPngmbIxzHwTvvvIMzzjgDGRkZzR5PiZojIpEI3nnnHYwfPx4pKSmtNu81tl13PjQMo9XmvYbaVF1djYULF2LChAnuVe9E5Gnjxo24bMpU9PnBVGTldxP74X/murpjqxCA0eQ5woCDAyXb8M0btfPhUUcdFZOnzZs346fXTsVRZ9+AzPzu4niKbgdgIwAHZ3TYjUVl+ahBoMlzRBA29tX5rNG3b9+EvOceOrYSNZ7WrVtX+951duPzYd08RbeDsA9+Vi08+NnVO0/R7fLd3+Lbdx7BU4/cFzMfWpaFDRs21M6HP5iKnPxunnmKft5LQwSnH5ybnYP/3tS+V7nn25j307p5in5WPeYHNyKjU+OfVQ/dToWF0zuU4J9lBbBgeM7l0e0DJd9i01sP4ZlHH0CvXr0SNkc4joOioiKcfvrpaNeuXbPnvYqKCrRv3x779+9HTk4OJOL6He9OnTohEAjUu7q9e/fueleagdozBytWrMDKlStx00031Qbw4EAJBoNuYzt37iy+ZlOO27lz7Rv+zp07YxbejbkBwNq1a/HMM89g5cqVmDNnDkaPHo38/HxcfPHFuPrqqxEKhRoMYFpaGtLS0uo9HggEYv576HbdK/4NbRuGgdGjRyM1tfa0YEpKirtPPNuGYbjb0U7Y1O26vmlpaRg9erTbYZvTpkO3A4GAW/IRqVNwEbtt1NuOwMTSUL47IVgHH3easG07qFNa1XBu4m1Tenp6g7FJRJ4cx0Hk4OmwRtt0MA7R7RqYWBrqhBqYMY9HserE99Dt6Jm36CR1qG9NTdjdxytP//lg4GBpKB/VCIjtaKxNlmU32Ceb2/cOZ2wlajw1ZWzFO54SNUekp6dj1KhRSE1NdX3ibVNj25FIBPbBDiT1w7rbFhwsDXVyF91A0/pe+GBVX7w582qHaZoYPXq0O+8nKk81NdHvlRke4yl2rISbMB8eOkdEiVbqHNrW2hNUB0vQm5inKFUIxPjUb0djbQJqDpbyNZYbu86xGmvTodsNzYdNaUfEgfv+lMg5wnEcjB49Gunp6fX2iXc8JaLvBYNBjB49GikpKTHu8bRJ2o63TfHOhy352Sg1NTXGJVF5ir6O5dSOU0Dohw2Orf/05dp95DnCgeF+jjAMw/Wp21bLsmEd3EcaT3Udo3NzdZ25uUlj65DPGtE8H27fO3RsJWo8mWadr7s1IU/R7f98Vq3NV1PyZNWZD8MHP6seOp7c+dD5T06kPEWpbmRubkqbGno/Bf6TJ8dxELaBDLFNsdu1Po1/Vm20TQ7c96dEfjaK9p+MjIx6bY133msqcS28U1NTMWTIECxcuBAXXHCB+/jChQtx/vnn19s/JycHX375ZcxjDzzwABYtWoSXX34ZvXvXlnGMGDECCxcuxC233OLuV1RUhJEjRzb5uL1790bnzp2xcOFCDB48GEDtd8M/+OAD3H333fXcHMfBddddh3vvvRdZWVmwLMut5a9b09+aGIbheaakNdHlY6DcTvHerZXQFRtAW3y0+WjLF328YP+R0RUf+sho6z9txaekpMT9elFzntsccnJykJ+f36znNoyuvqzNR1tf1hYf+sj40X/iWngDtb+DPWnSJAwdOhQjRozAI488gi1btril5NOnT8e2bdvw5JNPwjRrfx+tLgUFBUhPT495/Oc//zlGjx6Nu+++G+effz7mz5+Pd999F0uXLm3ycQ3DwLRp03DXXXehb9++6Nu3L+666y60a9cOl112Wb12PProoygoKMB5550HADj11FMxc+ZMfPjhh3jrrbdw7LHHokOHDvGG57AIh8NYsGABJk6cGHNWxi80+QRR+12ZBfs6x5yR8wtNsQH0xUebj7Z80UeG/UdGW3zoI6Ot/7QFn5KSElw+eQpKyyviel5qagpuu+l63HPfw3UqUppOXnY7PD33sYQtvrX1ZW0+2vqytvjQR8aP/hP3wvuSSy7B3r178cc//hE7duzAwIEDsWDBAvTq1QtA7ZfOvX7T+1BGjhyJ559/Hr/97W/xu9/9Dn369MELL7yA4cOHN/m4QO1PglVWVmLq1KnYt28fhg8fjqKiImRnZ8ccb9euXbjrrrti7sR+8skn4xe/+AXOOeccFBQUYN68efGG5rAJBoMYP358ozeha200+URgoKisMKZ00U80xQbQFx9tPtryRR8Z9h8ZbfGhj4y2/tMWfEKhEErLK5A/4kJk5jX8dcPG+Pt6G13HXRv3MQ+U7kLJ8lcQCoUStvDW1pe1+Wjry9riQx8ZP/pPs440depUTJ06tcF/e+KJJ8Tnzpw5EzNnzqz3+EUXXYSLLrqo2ccFaq96N/b6dSksLMSmTZvqPf773/8ev//978XntjRaJo8omnwijo6BGkVTbAB98dHmoy1f9JFh/5HRFh/6yGjrP23FJzOvEDkF3eN4Ru1NsIKHfCe2qTSvQF1GW1/W5qOtL2uLD31kWrv/+H+dn7jU/WkFDWjyqfvTNBrQFBtAX3y0+WjLF31k2H9ktMWHPjLa+g99Gkdb36GPjKa+A+iLD31k/Og/uk4TtXGCwSAmTpyo5uydJp8IjIPfCdFxpkxTbAB98dHmoy1f9JFh/5HRFp+24tPcm3U5joMBAwZg8+bNMXftbgqJv1mXvv6syaet9OXmos1HU98B9MWHPjJ+9B8dPZW41P1NQw1o8gkajqoSFU2xAfTFR5uPtnzRR4b9R0ZbfI50n+berCtKdlYmyr87EPfzEn2zrija+rMmnyO9Lx8u2nw09R1AX3zoI9Pa/UdPTyWIRCIoKipSc3dGTT5BOBjfYZeaM2WaYgPoi482H235oo8M+4+Mtvi0BZ/DuVlXiglc0tfEC+ts97dxm0JL3KwL0NefNfm0hb58JPlo6juAvvjQR8aP/sOFtyJSUlIa/D10v9DkE4GJf+zr6reGi6bYAPrio81HW77oI8P+I6MtPm3JJ/6bddXyj31ARicgI87ntcTNurT1Z00+bakvNwdtPpr6DqAvPvSR8aP/8OZqinAcB6FQCI6j46YDunwcZJthQMkNGXTFBtAWH20+2vJFHy/Yf2R0xYc+Xujy0dafdfnoyhV9ZHT1HUBbfOgj40f/4cJbEZFIBEuWLFFzd0ZNPkE4+H7OHlV3QtQSG0BffLT5aMsXfWTYf2S0xYc+Mtp8tPVnTT7ackUfGU19B9AXH/rI+NF/WGquiJSUFJxzzjl+a7ho8onAxFtlXfzWcNEUG0BffLT5aMsXfWTYf2S0xYc+Mtp8tPVnTT7ackUfGU19B9AXH/rI+NF/eMVbEbZto7S0FLYdx91XWhBNPgYc5AZqYCg5S6YpNoC++Gjz0ZYv+siw/8hoiw99ZLT5aOvPmny05Yo+Mpr6DqAvPvSR8aP/cOGtCMuyUFxcDMuy/FYBoMvHhIOhWaUwlQxWTbEB9MVHm4+2fNFHhv1HRlt86COjzUdbf9bkoy1X9JHR1HcAffGhj4wf/Yel5opISUnBhAkT/NZw0eRjwcTC/Z391nDRFBtAX3y0+WjLF31k2H9ktMWHPjLafLT1Z00+2nJFHxlNfQfQFx/6yPjRf3jFWxG2bWP37t1qSmY0+RhwkB+sUlWeoiU2gL74aPPRli/6yLD/yGiLD31ktPlo68+afLTlij4ymvoOoC8+9JHxo/9w4a0I27axatUqNROIJh8TDo5rF1JTnqIpNoC++Gjz0ZYv+siw/8hoiw99ZLT5aOvPmny05Yo+Mpr6DqAvPvSR8aP/sNRcEcFgEKeffrrfGi6afCyYeD9U4LeGi6bYAPrio81HW77oI8P+I6MtPvSR0eajrT9r8tGWK/rIaOo7gL740EfGj/7DK96KsG0b27ZtU3PmTpOPAQddUipVladoiQ2gLz7afLTliz4y7D8y2uJDHxltPtr6syYfbbmij4ymvgPoiw99ZPzoP7zirQjbtrF+/XoUFhbCNP0/J6LJx4SDPunfYXc4DRYMX10AXbEB9MVHm4+2fNFHhv1HRlt86OOPT0lJCUKhUNzPs20bGzduREVFRdz9OScnB/n5+XEf08tHy/hqK33nSPHR1HcAffGhj4wf/YcLb0UEg0GMHj3abw0XTT4WTCwtT+yb/eGgKTaAvvho89GWL/rIsP/IaIsPfWRawqekpASXT56C0vKKhL6uF3nZ7fD03McSuvjWNL7aQt85HLT5aOo7gL740EfGj/7DhbcibNvG1q1b0aNHDxVn7jT5GHDQI7UCW2vawUnwWbLmXDWwbRtlZWXo0KFDs2KT6KsGLRmfI8FHU1+mjzfsPzLa4kOf1vcJhUIoLa9A/ogLkZlXGNdzTQBHtwc27AfiKbA8ULoLJctfQSgUSuj7l6bx1Rb6jlYffhZLPPSR8WPu4cJbEdHvGnTr1s33Nx9tPiYcdE2twraajISX6jXnqkFKMIiLzpuIl/+xAOFIJO7jJvqqQUvF50jx0dSX6eMN+4+MtvjQxz+fzLxC5BR0j+s5Adg4Omsf9qblworzVj8lce3dNDSNr7bUdzT58LNYy0AfGT/mHi68FREMBjFy5Ei/NVw0+Vgw8eF3HRP+uodz1WB5NdBtwnVxH7Mlrhq0VHyaizYfTX0ZoI8X7D8y2uJDHxn6yGgaX9pi01Z8+FmsZaCPjB9zDxfeirAsCxs3bkTv3r0RCAT81lHlY8LBUWkHsKk6E3YLnCWL96rB4fok+qpBS8cn2X009WX6eMP+I6MtPvShz+GgaXxpi01b8+FnMfq0Jn7MPf7XzBEXx3Gwb98+OI6O2+xr8jHgIC9Yo+YnCOgjo81HU18G6OMF+4+MtvjQR4Y+MprGl7bY0EeGPjL0kfFj7uEVb0UEg0EMGzbMbw0XTT4WTKw4kOe3hgt9ZLT5tGRfbu5P+uTl5WHz5s1xP8/rZjDafJpDW+o/zUFbfOgjQx8ZTeNLW2zoI0MfGfrI+DH3cOGtCMuysG7dOvTt29f3cittPiYc9E0vx7qqbBXlKfRJLp+W6svNvSFMIGDi1JOH4l8fr4BlxXNfYflmMNp8mktb6T/NRVt86EOfw0HT+NIWG/rQhz4thx9zDxfeyqisrPRbIQZNPulmfAuCloY+Mtp8WqIvN/eGMAED6Fpg4KiOQ2HFUeHkdTMYbT6HQ1voP4eDtvjQR4Y+MprGl7bY0EeGPjL0kWntuYcLb0UEAgEMHjzYbw0XTT42DHxe0cFvDRf6yGjzaem+3Jyf9PnKATKbsVZtys1gtPnES1vrP/GiLT70kaGPjKbxpS029JGhj0xb8mnu1+xycnKwadOmZj2vORccuPBWhGVZWLNmDQYMGJDwctjmdEbbtrFr1y4UFhbG/ft2if7epwkHAzJCWFOZo6I8hT7J5dNSY6u5aIsPfWTYf+hDn5ZD0/jSFhv60Ic+3jT/a3YBnPb9EXhv6XJYlhXXc5v7NTsuvI9wmtsZAX86JCGEEEIIIYQ0heZ+zc40gPadDPTKPgF2K33NjgtvRQQCAQwcODChr9nczhjlGwA9zjohrue0xPc+bRhYXdk+Ia+VCOgjo82nJcbW4aAtPvSRYf+RoY8MfWQ0jS9tsaGPDH1k2ppPc75mtw5AVit+zY6/460Iy7KwcuXKuK8uN4VoZ4znr0NBN4w6KgsdCrrF9bzmLPC9MOFgULsymEp++48+Mtp8WnJsNQdt8aGPDPuPDH1k6COjaXxpiw19ZOgjQx8ZP3x4xVsZGRkZfivEUGXrOTejyQWgjxfafDi2ZNqKT3PueWHbNiorK7Fhwwbf73cRpa3kq7nQR0abj6b5WVts6CNDHxn6yLS2DxfeiggEAujfv7/fGi42DPy7KsdvDQC6XAD6eKHNh2NLpq34HM49L5pLS9zvoq3kq7nQR0abj6b5WVts6CNDHxn6yPjhw4W3IiKRCFauXInBgwcjGPQ/NQHYGJxZhpUHOsDy+VsJmlzok3w+HFv0AQ7vd85HdjGwbIej4nfO20q+6NM2fDTNz9piQx/60OfI8vH/EyhxMQwDubm5MAz/b/kPAA4MlEZS4Sj4CQJNLgB9vNDmw7El09Z84r0BiwkH5YEDyM7PjPsnUFrid87bWr7ihT4y2nw0zc/aYkMfGfrI0EfGDx8uvBURCARwzDHH+K3hYsPAhuosvzUA6HIB6OOFNh+OLRn6yNBHhj4y9JHRND9riw19ZOgjQx8ZP3z8v85PXCKRCJYtW4ZIJOK3CoDaEoxTsvYiANtvFVUuAH280ObDsSVDHxn6yNBHhj4ymuZnbbGhjwx9ZOgj44cPF96KME0T3bp1i/uuuS2FDQPba9LjLq080l0A+nihzYdjS4Y+MvSRoY8MfWQ0zc/aYkMfGfrI0EfGDx+WmivCNE306tXLbw0XBwa21GT6rQFAlwtAHy+0+XBsydBHhj4y9JGhj4ym+VlbbOgjQx8Z+sj44eP/6UXiEolEsHjxYhXlVkBtCcb3s0tUlIRocgHo44U2H44tGfrI0EeGPjL0kdE0P2uLDX1k6CNDHxk/fLjwVoRpmujTp4+KciugtgRjfVWWipIQTS4AfbzQ5sOxJUMfGfrI0EeGPjKa5mdtsaGPDH1k6CPjhw9LzRUR/Z6TFhwY2BHO8FsDgC4XgD5eaPPh2JKhjwx9ZOgjQx8ZTfOzttjQR4Y+MvSR8cPH/9OLxCUSiWDRokUqyq2A2hKMsTm7VZSEaHIB6OOFNh+OLRn6yNBHhj4y9JHRND9riw19ZOgjQx8ZP3y48FaEaZoYOHCginIroLYEY3VFjoqSEE0uAH280ObDsSVDHxn6yNBHhj4ymuZnbbGhjwx9ZOgj44cPS80VYZomCgoK/NZwcWCgJJLutwYAXS4AfbzQ5sOxJUMfGfrI0EeGPjKa5mdtsaGPDH1k6CPjh4//pxeJSzgcxjvvvINwOOy3CoDaEoxx7XeqKAnR5ALQxwttPhxbMvSRoY8MfWToI6NpftYWG/rI0EeGPjJ++HDhrYhAIIBhw4YhEAj4rQKgtgRjxXd5KkpCNLkA9PFCmw/Hlgx9ZOgjQx8Z+shomp+1xYY+MvSRoY+MHz4sNVeEaZrIy8vzW8PFgYF9VqrfGgB0uQD08UKbD8eWDH1k6CNDHxn6yGian7XFhj4y9JGhj4wfPlx4KyIcDqOoqAjjx49HSkqK3zoIwsa4DruwsKwQEZ+LIzS50Mdfn5KSEoRCobieY1kW/v3vf6Nfv37NuqqSk5OD/Pz8uJ/XGG0pX/ShD33oI6Hps4+22NCHPvQ5sny48FZEMBjEqFGjEAzqSEsEBpaGOiGioCREkwtAHy9ayqekpASXT56C0vKKuJ5nGAY65uVib+k+OI4T93Hzstvh6bmPJWzx3Vby1VzoI0MfGfrIaPPR9NlHW2zoI0MfGfrI+OHj/yxHXAzDQE5Ojt8adTBQbvt/5b0WTS4AfbxoGZ9QKITS8grkj7gQmXmFcT8/qxnHPFC6CyXLX0EoFErgVe+2ka/mQx8Z+sjQR0aXj67PPrpiQx8v6CNDH5nW9/H/Oj9xCYfDmD9/voo7ewK1JRjn5W5HUMHdBzW5APTxoqV9MvMKkVPQvcl/eQVdcXk/E3kFXeN6Xk5B92Yt8L1oa/mKF/rI0EeGPjLafDR99tEWG/rI0EeGPjJ++PCKtyKCwSDGjx+votwKqC3BKCorVFESoskFoI8X9JGhjwx9ZOgjQx+ZlvJpzv03AMBxHPTr1w+bN2+GYcTnlOj7b7SVXDUX+sjQR4Y+XHirQ8uiO0rE0TE4AF0uAH28oI8MfWToI0MfGfrIJNqnufffiJKamoKamviveCf6/hvAkZ+rw4U+MvSRaes+ulZ5bZxIJIIFCxZg4sSJvt/ZEwCCcDAxdycW7Ovs+9kpTS70oQ996EMf+tDnPxzO/TdSTOCSviZeWGcjHEfFZ0vcf6Mt5Io+9KGPfz5ceCsiGAxi4sSJaq56R2CoGRyaXAD6eEEfGfrI0EeGPjL0kWlJn+j9N+LDwYJ9DjI6GciI06kkziN50ZZy1RzoI0MfGfrw5mrqiEQifivEEDTi/+mllkKTC0AfL+gjQx8Z+sjQR4Y+MvRpHE0uAH28oI8MfWRa24cLb0VEIhEUFRWpWXwH4WB8h10Iwv9BoskFoI8X9JGhjwx9ZOgjQx8Z+iSHC0AfL+gjQx8ZP3x01DQTAEBKSgrOP/98vzVcIjDxj31d/dYAoMsFoI8X9JGhjwx9/n97dx7fRJn4cfw7k/SiB/cttwUEPFDkXBQEyq2ssiA3lENBQRbxQHYBXWXFFQQPkKOFInigsLoIIqxoQRFFQVCEnyin0JarF/RM8vz+CBma0jyT7tqZp+v3/XrxMjSRfNInM5nJPJnIsUeOPXLsCUylFoA9Ztgjxx45O3p4xFshQghkZWVBCDXeCQIEovVCQIl3plRqAdhjhj1y7JFjjxx75Ngjx57AVGoB2GOGPXLskbO+hzveCnG5XNi5c6dSU83/EHNeiSkhKrUA7DHDHjn2yLFHjj1y7JFjT/loAdhjhj1y7JGzo4dTzRUSEhKCvn372p1hcEHHRxm17c4AoFYLwB4z7JFjjxx75Ngjxx459gSmUgvAHjPskWOPnB09POKtEI/Hg4sXL8LjKcUXWZYhDQKVHQXQFHhnSqUWgD1m2CPHHjn2yLFHjj1y7CkfLQB7zLBHjj1ydvRwx1shbrcbe/bsgdvttjsFAKBDoE3URegKLCAqtQDsMcMeOfbIsUeOPXLskWNP+WgB2GOGPXLskbOjh1PNFRISEoKePXvanWFwQ8e2zFp2ZwBQqwVgjxn2yLFHjj1y7JFjjxx7AlOpBWCPGfbIsUfOjh7ueJeBc+fOISsrq9T/nxACly5dQlRUFDRNK9X/GxMTg+rVq5f6PmU0CFRz5uO8KwwCpev5ranUwh72sIc97GEPe/73elRqYQ972PO/18Md79/YuXPnMHzMOFzMzin1/xsSEoL4IQOR+NZ7KCwsLNX/WyW6AtasXPGb7nzrEGhZIQs7s6rBbfMColILe9jDHvawhz3s+d/rUamFPexhz/9eD3e8f2NZWVm4mJ2D6h3uQ2SVmqX+/z++ANSNG1+q/+fyxTSc+3I9srKyftMdbzd0fJZV4zf79/4bKrUA7DHDHjn2yLFHjj1y7JFjT2AqtQDsMcMeOfbI2dHDHe8yElmlJmJqXFeq/0eDQK2QPKQWhpd6ysO5Ut267Hv+l1vYwx72sIc97GHP/16PSi3sYQ97/vd6eFZzhegQaBJ+Samz/anSo1ILwB4z7JFjjxx75Ngjxx459pSPFoA9Ztgjxx45O3p4xFshbuj4PPu3PUHaf0OlHpVaAPaYYY8ce+TYI8ceOfbIsScwlVoA9phhjxx75Ozo4RFvhWgQqB96WakvllelR6UWgD1m2CPHHjn2yLFHjj1y7CkfLQB7zLBHjj1ydvRwx1shOgTqhOYpNQVDlR6VWgD2mGGPHHvk2CPHHjn2yLGnfLQA7DHDHjn2yNnRw6nmCnFDx+5LVe3OMKjUo1ILwB4z7JFjjxx75Ngjxx459gSmUgvAHjPskWOPnB09POKtEB0CjcPUOumAKj0qtQDsMcMeOfbIsUeOPXLskWNP+WgB2GOGPXLskbOjhzveCtEgUMVZoNRnH1TpUakFYI8Z9sixR449cuyRY48ce8pHC8AeM+yRY4+cHT2caq4QN3R8c7mK3RkGlXpUagHYY4Y9cuyRY48ce+TYI8eewFRqAdhjhj1y7JGzo4dHvBWiQ6BZeJZSUzBU6VGpBWCPGfbIsUeOPXLskWOPHHvKRwvAHjPskWOPnB093PFWTLjusTvBj0o9KrUA7DHDHjn2yLFHjj1y7JFjT2AqtQDsMcMeOfbIWd3DqeYK8UDD/pxKdmcYVOpRqQVgjxn2yLFHjj1y7JFjjxx7AlOpBWCPGfbIsUfOjh4e8VaIDoGWEZlKTcFQpUelFoA9Ztgjxx459sixR449cuwpHy0Ae8ywR449cnb0cMebiIiIiIiIqAxxqrlCPNBwMLei3RkGlXpUagHYY4Y9cuyRY48ce+TYI8eewFRqAdhjhj1y7JGzo4dHvBWiQ+DmChlKTcFQpUelFoA9Ztgjxx459sixR449cuwpHy0Ae8ywR449cnb0cMdbMXketYZEpR6VWgD2mGGPHHvk2CPHHjn2yLEnMJVaAPaYYY8ce+Ss7uFUc4V4oOH/8mLszjCo1KNSC8AeM+yRY48ce+TYI8ceOfYEplILwB4z7JFjj5wdPWq97fA754AHbSIvwgE1vuNOpR6VWgD2mGGPHHvk2CPHHjn2yLGnfLQA7DHDHjn2yNnRwx1vhQhouOgKhYBmdwoAtXpUagHYY4Y9cuyRY48ce+TYI8ee8tECsMcMe+TYI2dHz3+047148WI0atQI4eHhuO2227Bz586At92wYQN69OiB6tWrIyYmBh06dMDHH398ze3Wr1+PFi1aICwsDC1atMA///nPUt+vEAJz5sxBnTp1EBERgS5duuDgwYN+t5k2bRqqVKmC+vXr4+233/a7bt26dejfv39pfhW/KQ80HM2PgkeRJ6RKPSq1AOwxwx459sixR449cuyRY0/5aAHYY4Y9cuyRs6On1Dve77zzDqZOnYqZM2di37596Ny5M3r37o2TJ0+WePsdO3agR48e2Lx5M7799lt07doV/fv3x759+4zbfPnllxg8eDBGjBiB/fv3Y8SIERg0aBC++uqrUt3vCy+8gAULFuDVV1/Fnj17UKtWLfTo0QPZ2dkAgI0bN+LNN9/E1q1bMW/ePIwZMwYXLlwAAGRkZGDmzJl47bXXSvsr+c044EH7qAtKTcFQpUelFoA9Ztgjxx459sixR449cuwpHy0Ae8ywR449cnb0lHrHe8GCBRg7dizGjRuHG264AQsXLkS9evWwZMmSEm+/cOFCPP7447j99tsRGxuLuXPnIjY2Fhs3bvS7TY8ePTBjxgw0b94cM2bMQLdu3bBw4cKg71cIgYULF2LmzJm499570apVKyQlJSEnJwdvvvkmAODQoUPo0qUL2rRpgyFDhiAmJgZHjx4FADz++OOYNGkS6tevX9pfyW/GAw1nCsKVeidIlR6VWgD2mGGPHHvk2CPHHjn2yLGnfLQA7DHDHjn2yNnRU6od74KCAnz77beIi4vz+3lcXBx27doV1L/h8XiQnZ2NKlWqGD/78ssvr/k3e/bsafybwdzvsWPHkJqa6nebsLAw3HnnncZtbr75ZnzzzTdIT0/Ht99+i9zcXFx//fX4/PPPsXfvXkyZMiWox5Cfn4+srCy/PwDgdrsBAA6HA/qVMdQhjO+Hc8Djd1krdllAw+mCCON+it7GCQ9wzWVx5TL87l8IgcLCQuNyaEgIAECDMN7VCXRZ9/s58GtBBQhofo8jmMcU4nRCCO9ll8sFj8djNGqaFsRj8n98AsCZgggIaEE9Dr/HpAFOp9O4f9/vye12G10ODUGPk+93cOrK7yb4cfJeDrmy1BUdJ4/HY1zWNA3OK8+fYMZJv/LplJMFkdCAUo2To8jqpujvo7Cw0LgcGhpi3MZsnHyXBTScKqhg3Gdpn3sOh+73nPGNmcfjgcOhBz1OgZat0jz3tCu/g+Lj5PF4jC7tyn2ZjdPV30fJy1YwjykkJMRYtoqOU2FhofFz73PMfJx8vToEThZEGvcV7Dh5ly3HNeNU9LLT6TTWh2bjVPT+TxZEwnGlO5hxki1bLpfL+HnIlXVBMOPkuyyg4deCCsZyEPxzD8bvo6Rx8j2vgh2nou/KnzZZHwZ6TA6HI6hlK5hxunpZ4OSV53Ow6whvL4zXp6Lj5PF4jEYdCHqcfJd968Piy5bZ43BqMF6fio6TfNkKPE6+y7L1ofQxXXkCFV3XuFwu43KI02lsxAX1+K6Mh4B25fW0aHuQj0nT/J4zRcfMt2wFO05FL/9awutpMJdDQ0OuGSchhNF49XGbj5NPSctWMI/JocFYhoqOU9FtIIeGoMfJ+3PfshVo2y/wY/JtRwgh/MbJd9nh0OEoYVtVtr1XdNkqzTg5i60PfeNUdMyuXR+abzsUX7ZK+9xzOp3G2BQdJ4/HA12Xrw9L2o64uq3q/ziCe0wwlqGi41T09UMvsq0azHZ5oG3VYB5T8dfTomMGeNcFvtsEu13u29Yous0U1HOv2LJV0piFhFzdVg12u1wAOFlQ4cq2RrDjJIzlpug4BatUO97nz5+H2+1GzZo1/X5es2ZNpKamBvVvzJ8/H5cvX8agQYOMn6Wmpkr/zWDu1/df2W169uyJ4cOH4/bbb8fo0aORlJSEyMhITJw4EUuXLsWSJUvQrFkzdOrU6ZrPhhf197//HRUrVjT+1KtXDwDwww8/AAC6/qEDWlfzjsqNFTIRG+6d6t46MgMNwy4DAG6PSke90BwAQIfoC6gVkgcHPOhZKRU1nHkAgLsqnkUlh/cJ3qNSGqJ17+D2qZyKcM0DJwT6VE5FiA5ER0Xi0KFDAIDs7Gxs3boVAJCbm4sHRw8DAFRz5qNzzHkAQK2QPHSI9k6zrxeag9uj0gEADcMuo3VkBgCgaXgWuldMhQMe3BCRhRsisoJ+TMMGDjDekNixYwfOn/fe75EjR1CnVk3Tx+SEQLjmQZ/K3rGrqBegdyVvSyVHIe6qeDbox9SsEnB3r+7G/R84cACAdwZEWlqat72GFvQ4AcAdMefRJeYsHPAEPU6+xzQ41rvY5efnG+OUkZGB7du3AwAa1a+HXg20oMcpNjwbN1XIwB+iz6FFRGapxqlD9AXUiwIA4OjRo8Y4bd++HRkZ3n//kfFjEBOKoMYpWnehR6U0OODBndFnSzVORR9Tp7ZtkJKSYoyT77mdkpKCTm3bBD1OnWPOo5ozHw540LtSKqo48oMeJ99jign1/g6Kj9P58+eNGTP1ohDUON1YIRMA0CIiE90ren9PpVlHAED8kIG4dOnSNeO0detW5Od7H9/gWD2ocQJgLE9/iD6HGs68Uo1Tqyoaena945pxOnDgAI4cOQLAu+w1q4SgxgnwrveqOPLxh+hzpRqnaN2FPzb2Lje5ubl+47Rjxw4AQFZWFoYNHBD0OPnWew540L1iKpqGZwU9Tp1jzqNWBe/jPnLkiN84+T7+9PjDD6CCE6UaJwCo4cxDzyvrw2DXEb7H1PUPHYz1XtFx+vXXX9Hm5ptKNU5F13t3Rp+DA56g1xEAUDUcxutT0XFKSUnBsWPHAACNKyLocQK8672m4Vn4Q/Q53BqZHvQ6AgD6N9KM16ei47R582a4XC6EhoZgcKwe9Dj51nsOeNAl5iw6lmKcbojIMrYjUlJSjHHat2+f8bsZeHcfNK6IUo1TtO4yxilSc5X6udeofj1jvZeSkmIc2MjIyMDAu/uUapx8671bI9NxV4x3fVja594j48cY673NmzcjLy8PLpcLhw4dQmhoCCo4EfQ4AUCdkFz0vPIaVpp1BODdjvC9PhUdp6+//tpY/rvX04IeJ8Db3jn6HMLgLtU4VXPmG9sRWVlZxjidOnUKX3/9NQCgzc03oWNtLehxah2ZgcZhl/CH6HNoG3Wx1OsI33bEoUOHjHHyLVsulwuPP/xA0OPkW+854MFdMWfRNupi0ONU9DHd3as7Ll68aIzTqVOnAHgP5jVr0qhU4xSueYxxCoO7VOsIwLsd4Xt9KjpOx44dw6+//grA+5obzDj51nttoy7irivbqqVZRwDe7YjoqEh4PB5jnPLy8rB582YAQNUqlY3X3GC3y9tGXcQfos+hcdilUo1Tx9qa8fpUdJx27dplbCvGDxlovOYGu10eBjc6R58r1TjVCslD93rex52RkWGMU7A04XurMAhnzpxB3bp1sWvXLnTo0MH4+XPPPYc33ngDhw8flv7/b731FsaNG4cPPvgA3bt3N34eGhqKpKQkDBkyxPjZ2rVrMXbsWOTl5QV1v7t27UKnTp1w5swZ1K5d27jN+PHjcerUKWzZsqXEpjlz5iAzMxNjxoxBXFwcvv/+e3z44Yd49dVX8e2335b4/+Tn5xsresC7UqtXrx4uXryIixcvYtj4h9Cg9wOIqn6d8W6N58q7TQKacdn7fszVy4B3pZ9SGA4PdL/bOOGBCxrgd9m7wXbx7Bkc37QYa5e/hqZNmxrvboaEhODnn3/GqAenoE7ceFSsURc6BNzQjXeeil/2vYvpvnL/NUPykFIYYbyL5LlyhE72mDLPnsbpj5dh9dJXcP3118PlckHXdei6jp9++gnDJzyMBn0mokqNOgEfk/9lHRo8qBOShzOF3qOWZo+j6OVL537FyS3LsGbZq2jYsCEA71Eft9uNo0ePYui4SWjSbxKiq9cNapy84+FG9ZB8pBZGQIcIapx8l3PPn8aRjYvxVsISNGjQACEhIcYRjZMnT2LI2Ilo0nciKlS/Lqhx8l2uEZKPs4VhRnuwz72Ms2dw7Mrz5/rrr4eu6ygsLITD4cCxY8cw8sHJqNtjPKJrXGc6Tt53CwXc0FArJBfnCsPggiOocfI9jvSzZ3Bqy+t4Y+mriI2N9ZtJcuTIEYx44GHU6/UgKteoYzpOgZatYMbJ95iyz/6K09uWY/Xrr6BRo0Zwu93GmP38888YNv4hNOo7CZVq1DEdp6LjUdKyZfbcyzx7Gqe3Lsfq11/G9ddfb4yTb8xOnDiBIWMnIrb/JERUq2s6Tq4rvQ54UD2kAGmFYdCAoNcR3mVrKdYse+2aZQsAjh8/juETHkb9XhMQVf0603ESxu8AqBmSj/OFoSiEHtQ4ASLgsuXxeOB0OvHzzz9j5AOTUbfnBL/1YaBx8l0WAGqH5CKtMNxYNwbz3Au0bDmdThw9ehQjH5yMOj3GI6ZG3aDG6WqvB7VN1oclPaaMs6dxastSvLH0FdNlK5hx8l0OgRvVrqwPHdc8jsCPKfvsr97n81LvsuUbJ4/Hg19++QVDx01C476TUPHKsmU2Tr7LvvXhucIweIJcRwhoyDn3K37ZtARvJSxB/fr14XQ6oWmaybIVeJx8lz3QUDskF2dLWB/KHlPWudM4+uFivLliMRo3bgyHwwGXywVN03D8+HGMmPAw6vWcgKgawS1bvmVIu7I+PFMYfuXnwT330s+ewYnNS7Bm2ato2rSp37J15MgRjHpwCur2nIBKNeoGNU6+y054UOPK+rDo66nZY8o8expnti1H0pKr60Pf7LYjR45g2PiH0LDvpCvbGubjJFu2gnnuXT73K45/9DrWLl+MBg0aQNM0Y8yOHTtmbGtEVa8b1DjBb9kKhwMIeh2hQeDyudP4+UPv+rBhw4bGsuXxeHDixAkMGz8JDXs/iMhi26qBLvuO+HmXrVC4r/xWgn3upRdZH8bGxgLwHrF0Op345ZdfMGrilGLrQ/NtvOLLVrDrCN/68NePl2H16y8jNjbWb1v1yJEj3teu3oHXhyVtR2gQV7ZViy5bwT33ss/+il8/XoY3lr3qtz4suq3auN8kxFzZVpWNk+/1yQk3aoTkB71sFX1Mued/9Xs99S1bLpfL2Fa9vt9ERFQLvK1a/LJvW+NsYRhwZVsjmOde8WXLN06+MTt27BhGPDAZ18V5t1WD3X9yw7sjfb4wDIVwBDVOGgQunTuNX66smxs1aoScnBxUrFgRmZmZiImJgYxTem0x1apVg8PhuObo9tmzZ6850lzcO++8g7Fjx+Ldd9/12+kGgFq1akn/zWDut1atWgC8R76L7njL2g4fPoy1a9di3759SExMxB133IHq1atj0KBBiI+PR1ZWVom/wLCwMISFhV3zc4fj6pRLz5W3M65OrvE+wcwuny6sUOLPXQEvX/33ffevaRpCfNPLNQ0Fvmnn0OC+cvtAlz1Xnpy++z9zpafouzPBPKbCKxsHwNVp3r5GYwp6EI/JZTTqxX438sfh95gEikytcvi1+KYSucXVxxXMOLngQMqVHrdfr/ljKrwy86joOPlWIsCVaWFXfuHBjJPvckrh1anUV38ufxxuY9Xm//vwdQFAQUGhcRuzcQI043JKkfEq9XPPXWSaV5Ex03UdbrfH9DGVdLno86d0zz3v78B3/74uXdeNNlHkvuTjdLWrpGUrmMdRWFhoLFtFxykkJOTqNFkP4NulNxsnAe3K89n/+RPUc08ALtfVnTefopddLpexPizNmBXvCea5Z7ZsaZqGQt+08yDGqejlMwHWzf/tsuVrD2acrvaarw8DPvfc7t982Sossj4s+XEEekwwXp+KL1u+y54i9xXMOAVaHwa1Xhe4OqW8VMtWyeNU9PKZAOtD2WPyLTdF1zVFX08LXS74JrIG97rlW0cVXx8G/9wTQhgtxcfMt2wFP05Xu86U8HoazGMqKCh5fei3DjJubz5OgZatYB6TW8BYhoqOk9Pp9NvW8H11kdk4AcWXLRS5jflzz7cdoWma0VN0zNxuD9wlbKsGfHwB1s3BPveKrg+Lj5mmaSWuD4PZdii6bJX6uXdlxw3wHzNdL/JxtyDG6eqypQVYtoJ5TDCWoaLjVPT1w1NkW9VsnLz37yjVsuX33Cvh9RS4OmZCiCvrw+DGKdC2RlDPPcmyZfQWXt1WLc3+U9Ft1aCfe0XWzUUbglGqqeahoaG47bbbsG3bNr+fb9u2DR07dgz4/7311lsYPXo03nzzTfTt2/ea6zt06HDNv7l161bj3wzmfhs1aoRatWr53aagoADJyckltgkhMGHCBMyfPx9RUVFwu93G5xaKfjbQSr7paEU/a2QnlXpUagHYY4Y9cuyRY48ce+TYI8ee8tECsMcMe+TYI2dHT+l20+H9HuwRI0agTZs26NChA5YtW4aTJ0/iwQcfBADMmDEDp0+fxurVqwF4d7pHjhyJRYsWoX379sZR64iICFSs6P1w0iOPPII77rgD8+bNwz333IMPPvgA//73v/H5558Hfb+apmHq1KnGWdN9Z1CvUKEChg4des3jWL58OWrUqIG7774bANCpUyfMmTMHu3fvxkcffYQWLVqgUqVKpf31/Fc80HAwJ8bvXR47qdSjUgvAHjPskWOPHHvk2CPHHjn2lI8WgD1m2CPHHjk7ekq94z148GBcuHABzzzzDFJSUtCqVSts3rwZDRo0AOA92UbR79ZeunQpXC4XHnroITz00EPGz0eNGoVVq1YBADp27Ii3334bf/nLX/DXv/4VTZo0wTvvvIN27doFfb+A9yvBcnNzMWnSJKSnp6Ndu3bYunUroqOj/R5DWloa5s6d63cm9rZt2+LRRx9F3759UaNGDSQlJZX2V/NfE9BwzhVu+f0GolKPSi0Ae8ywR449cuyRY48ce+TYE5hKLQB7zLBHjj1ydvSUaqq5z6RJk3D8+HHk5+fj22+/xR133GFct2rVKnz22WfG3z/77DPjFPRF//h2un0GDhyIw4cPo6CgAIcOHcK9995bqvsFvEe958yZg5SUFOTl5SE5ORmtWrW65t+pWbMmjh8/jjp16vj9fNasWbhw4QIOHTqEtm3b/ge/mf+OAx70uHIWcRWo1KNSC8AeM+yRY48ce+TYI8ceOfaUjxaAPWbYI8ceOTt6/qMdbyobHmj45lIVpaZgqNKjUgvAHjPskWOPHHvk2CPHHjn2lI8WgD1m2CPHHjk7eko91ZzKjoCGdHeo3RkGlXpUagHYY4Y9cuyRY48ce+TYI8eewFRqAdhjhj1y7JGzo4dHvBXihAe9K6XAqcgUDJV6VGoB2GOGPXLskWOPHHvk2CPHnvLRArDHDHvk2CNnRw93vBXigobPs6r5faemnVTqUakFYI8Z9sixR449cuyRY48ce8pHC8AeM+yRY4+cHT2caq4UDdmeEPObWUalHpVaAPaYYY8ce+TYI8ceOfbIsScwlVoA9phhjxx75Kzv4RFvhTjhwd2Vzyg1BUOVHpVaAPaYYY8ce+TYI8ceOfbIsad8tADsMcMeOfbI2dHDHW+FuKBha0ZNpaZgqNKjUgvAHjPskWOPHHvk2CPHHjn2lI8WgD1m2CPHHjk7erjjrRiXUOPJ6KNSj0otAHvMsEeOPXLskWOPHHvk2BOYSi0Ae8ywR449clb3cMdbIU4I9KmcCieE3SkA1OpRqQVgjxn2yLFHjj1y7JFjjxx7ykcLwB4z7JFjj5wdPdzxVogLGjan11JqCoYqPSq1AOwxwx459sixR449cuyRY0/5aAHYY4Y9cuyRs6OHO96KcWpqvAvko1KPSi0Ae8ywR449cuyRY48ce+TYE5hKLQB7zLBHjj1yVvdwx1shTgjEVUpTagqGKj0qtQDsMcMeOfbIsUeOPXLskWNP+WgB2GOGPXLskbOjh9/jrRAXdPwrvY7dGQaVelRqAdhjhj1y7JFjjxx75Ngjx57AVGoB2GOGPXLskbOjh0e8lSIQrRcCirwTpFaPSi0Ae8ywR449cuyRY48ce+TYE5hKLQB7zLBHjj1y1vdwx1shTgj8Iea8UlMwVOlRqQVgjxn2yLFHjj1y7JFjjxx7ykcLwB4z7JFjj5wdPZxqrhAXdHyUUdvuDINKPSq1AOwxwx459sixR449cuyRY09gKrUA7DHDHjn2yNnRwyPeCtEgUNlRAE2Rd4JU6lGpBWCPGfbIsUeOPXLskWOPHHvKRwvAHjPskWOPnB093PFWiA6BNlEXoSvyhFSpR6UWgD1m2CPHHjn2yLFHjj1y7CkfLQB7zLBHjj1ydvRwqrlC3NCxLbOW3RkGlXpUagHYY4Y9cuyRY48ce+TYI8eewFRqAdhjhj1y7JGzo4dHvBWiQaC6M0+pKRiq9KjUArDHDHvk2CPHHjn2yLFHjj3lowVgjxn2yLFHzo4e7ngrRIdAywpZSk3BUKVHpRaAPWbYI8ceOfbIsUeOPXLsKR8tAHvMsEeOPXJ29HCquULc0PFZVg27Mwwq9ajUArDHDHvk2CPHHjn2yLFHjj2BqdQCsMcMe+TYI2dHD494K0SDQO2QXKWmYKjSo1ILwB4z7JFjjxx75Ngjxx459pSPFoA9Ztgjxx45O3q4460QHQJNwi8pNQVDlR6VWgD2mGGPHHvk2CPHHjn2yLGnfLQA7DHDHjn2yNnRw6nmCnFDx+fZ1e3OMKjUo1ILwB4z7JFjjxx75Ngjxx459gSmUgvAHjPskWOPnB09POKtEA0C9UMvKzUFQ5UelVoA9phhjxx75Ngjxx459sixp3y0AOwxwx459sjZ0cMdb4XoEKgTmqfUFAxVelRqAdhjhj1y7JFjjxx75Ngjx57y0QKwxwx75NgjZ0cPp5orxA0duy9VtTvDoFKPSi0Ae8ywR449cuyRY48ce+TYE5hKLQB7zLBHjj1ydvTwiLdCdAg0DlPrpAOq9KjUArDHDHvk2CPHHjn2yLFHjj3lowVgjxn2yLFHzo4e7ngrRINAFWeBUp99UKVHpRaAPWbYI8ceOfbIsUeOPXLsKR8tAHvMsEeOPXJ29HCquULc0PHN5Sp2ZxhU6lGpBWCPGfbIsUeOPXLskWOPHHsCU6kFYI8Z9sixR86OHh7xVogOgWbhWUpNwVClR6UWgD1m2CPHHjn2yLFHjj1y7CkfLQB7zLBHjj1ydvRwx1sx4brH7gQ/KvWo1AKwxwx75Ngjxx459sixR449ganUArDHDHvk2CNndQ+nmivEAw37cyrZnWFQqUelFoA9Ztgjxx459sixR449cuwJTKUWgD1m2CPHHjk7enjEWyE6BFpGZCo1BUOVHpVaAPaYYY8ce+TYI8ceOfbIsad8tADsMcMeOfbI2dHDHW8iIiIiIiKiMsSp5grxQMPB3Ip2ZxhU6lGpBWCPGfbIsUeOPXLskWOPHHsCU6kFYI8Z9sixR86OHh7xVogOgZsrZCg1BUOVHpVaAPaYYY8ce+TYI8ceOfbIsad8tADsMcMeOfbI2dHDHW/F5HnUGhKVelRqAdhjhj1y7JFjjxx75Ngjx57AVGoB2GOGPXLskbO6h1PNFeKBhv/Li7E7w6BSj0otAHvMsEeOPXLskWOPHHvk2BOYSi0Ae8ywR449cnb0qPW2w++cAx60ibwIB9T4jjuVelRqAdhjhj1y7JFjjxx75Ngjx57y0QKwxwx75NgjZ0cPd7wVIqDhoisUAprdKQDU6lGpBWCPGfbIsUeOPXLskWOPHHvKRwvAHjPskWOPnB09nGquEA80HM2PsjvDoFKPSi0Ae8ywR449cuyRY48ce+TYE5hKLQB7zLBHjj1ydvTwiLdCHPCgfdQFpaZgqNKjUgvAHjPskWOPHHvk2CPHHjn2lI8WgD1m2CPHHjk7erjjrRAPNJwpCIdHkSkYKvWo1AKwxwx75Ngjxx459sixR4495aMFYI8Z9sixR86OHk41V4iAhpMFkXZnGFTqUakFYI8Z9sixR449cuyRY48cewJTqQVgjxn2yLFHzo4eHvFWiAMe/CH6nFJTMFTpUakFYI8Z9sixR449cuyRY48ce8pHC8AeM+yRY4+cHT3c8VaIBxp+yYtSagqGKj0qtQDsMcMeOfbIsUeOPXLskWNP+WgB2GOGPXLskbOjh1PNFSKgIaUwwu4Mg0o9KrUA7DHDHjn2yLFHjj1y7JFjT2AqtQDsMcMeOfbI2dHDI94KccCDLjFnlZqCoUqPSi0Ae8ywR449cuyRY48ce+TYUz5aAPaYYY8ce+Ts6OGOt0I80HAwJ0apKRiq9KjUArDHDHvk2CPHHjn2yLFHjj3lowVgjxn2yLFHzo4eTjVXiICGc65wuzMMKvWo1AKwxwx75Ngjxx459sixR449ganUArDHDHvk2CNnRw+PeCvEAQ96VExVagqGKj0qtQDsMcMeOfbIsUeOPXLskWNP+WgB2GOGPXLskbOjhzveCvFAwzeXqig1BUOVHpVaAPaYYY8ce+TYI8ceOfbIsad8tADsMcMeOfbI2dHDqeYKEdCQ7g61O8OgUo9KLQB7zLBHjj1y7JFjjxx75NgTmEotAHvMsEeOPXJ29PCIt0Kc8KB3pRQ4FZmCoVKPSi0Ae8ywR449cuyRY48ce+TYUz5aAPaYYY8ce+Ts6OGOt0Jc0PB5VjW4FJmCoVKPSi0Ae8ywR449cuyRY48ce+TYUz5aAPaYYY8ce+Ts6OFUc6VoyPaE2B1RhEo9KrUA7DHDHjn2yLFHjj1y7JFjT2AqtQDsMcMeOfbIWd/DI94KccKDuyufUWoKhio9KrUA7DHDHjn2yLFHjj1y7JFjT/loAdhjhj1y7JGzo4c73gpxQcPWjJpKTcFQpUelFoA9Ztgjxx459sixR449cuwpHy0Ae8ywR449cnb0cMdbMS6hxpPRR6UelVoA9phhjxx75Ngjxx459sixJzCVWgD2mGGPHHvkrO7hjrdCnBDoUzkVTgi7UwCo1aNSC8AeM+yRY48ce+TYI8ceOfaUjxaAPWbYI8ceOTt6uOOtEBc0bE6vpdQUDFV6VGoB2GOGPXLskWOPHHvk2CPHnvLRArDHDHvk2CNnRw93vBXj1NR4F8hHpR6VWgD2mGGPHHvk2CPHHjn2yLEnMJVaAPaYYY8ce+Ss7uGOt0KcEIirlKbUFAxVelRqAdhjhj1y7JFjjxx75Ngjx57y0QKwxwx75NgjZ0cPv8dbIS7o+Fd6HbszDCr1qNQCsMcMe+TYI8ceOfbIsUeOPYGp1AKwxwx75NgjZ0cPj3grRSBaLwQUeSdIrR6VWgD2mGGPHHvk2CPHHjn2yLEnMJVaAPaYYY8ce+Ss7+GOt0KcEPhDzHmlpmCo0qNSC8AeM+yRY48ce+TYI8ceOfaUjxaAPWbYI8ceOTt6ONVcIS7o+Cijtt0ZBpV6VGoB2GOGPXLskWOPHHvk2CPHnsBUagHYY4Y9cuyRs6OHR7wVokGgsqMAmiLvBKnUo1ILwB4z7JFjjxx75Ngjxx459pSPFoA9Ztgjxx45O3q4460QHQJtoi5CV+QJqVKPSi0Ae8ywR449cuyRY48ce+TYUz5aAPaYYY8ce+Ts6OFUc4W4oWNbZi27Mwwq9ajUArDHDHvk2CPHHjn2yLFHjj2BqdQCsMcMe+TYI2dHD494K0SDQHVnnlJTMFTpUakFYI8Z9sixR449cuyRY48ce8pHC8AeM+yRY4+cHT3c8VaIDoGWFbKUmoKhSo9KLQB7zLBHjj1y7JFjjxx75NhTPloA9phhjxx75Ozo4VRzhbih47OsGnZnGFTqUakFYI8Z9sixR449cuyRY48cewJTqQVgjxn2yLFHzo4eHvFWiAaB2iG5Sk3BUKVHpRaAPWbYI8ceOfbIsUeOPXLsKR8tAHvMsEeOPXJ29HDHWyE6BJqEX1JqCoYqPSq1AOwxwx459sixR449cuyRY0/5aAHYY4Y9cuyRs6OHU80V4oaOz7Or251hUKlHpRaAPWbYI8ceOfbIsUeOPXLsCUylFoA9Ztgjxx45O3p4xFshGgTqh15WagqGKj0qtQDsMcMeOfbIsUeOPXLskWNP+WgB2GOGPXLskbOjhzveCtEhUCc0T6kpGKr0qNQCsMcMe+TYI8ceOfbIsUeOPeWjBWCPGfbIsUfOjh5ONVeIGzp2X6pqd4ZBpR6VWgD2mGGPHHvk2CPHHjn2yLEnMJVaAPaYYY8ce+Ts6OERb4XoEGgcptZJB1TpUakFYI8Z9sixR449cuyRY48ce8pHC8AeM+yRY4+cHT3c8VaIBoEqzgKlPvugSo9KLQB7zLBHjj1y7JFjjxx75NhTPloA9phhjxx75Ozo4VRzhbih45vLVezOMKjUo1ILwB4z7JFjjxx75Ngjxx459gSmUgvAHjPskWOPnB09POKtEB0CzcKzlJqCoUqPSi0Ae8ywR449cuyRY48ce+TYUz5aAPaYYY8ce+Ts6OGOt2LCdY/dCX5U6lGpBWCPGfbIsUeOPXLskWOPHHsCU6kFYI8Z9sixR87qHk41V4gHGvbnVLI7w6BSj0otAHvMsEeOPXLskWOPHHvk2BOYSi0Ae8ywR449cnb0/EdHvBcvXoxGjRohPDwct912G3bu3Cm9fXJyMm677TaEh4ejcePGeP3116+5zfr169GiRQuEhYWhRYsW+Oc//1nq+xVCYM6cOahTpw4iIiLQpUsXHDx40O8206ZNQ5UqVVC/fn28/fbbftetW7cO/fv3D/bX8JvTIdAyIlOpKRiq9KjUArDHDHvk2CPHHjn2yLFHjj3lowVgjxn2yLFHzo6eUu94v/POO5g6dSpmzpyJffv2oXPnzujduzdOnjxZ4u2PHTuGPn36oHPnzti3bx+eeuopTJkyBevXrzdu8+WXX2Lw4MEYMWIE9u/fjxEjRmDQoEH46quvSnW/L7zwAhYsWIBXX30Ve/bsQa1atdCjRw9kZ2cDADZu3Ig333wTW7duxbx58zBmzBhcuHABAJCRkYGZM2fitddeK+2vhIiIiIiIiCigUu94L1iwAGPHjsW4ceNwww03YOHChahXrx6WLFlS4u1ff/111K9fHwsXLsQNN9yAcePGIT4+Hi+++KJxm4ULF6JHjx6YMWMGmjdvjhkzZqBbt25YuHBh0PcrhMDChQsxc+ZM3HvvvWjVqhWSkpKQk5ODN998EwBw6NAhdOnSBW3atMGQIUMQExODo0ePAgAef/xxTJo0CfXr1y/tr+Q344GGg7kV4YFmW0NRKvWo1AKwxwx75Ngjxx459sixR4495aMFYI8Z9sixR86OnlJ9xrugoADffvstnnzySb+fx8XFYdeuXSX+P19++SXi4uL8ftazZ08kJCSgsLAQISEh+PLLL/HnP//5mtv4dryDud9jx44hNTXV777CwsJw5513YteuXXjggQdw8803Y9myZUhPT8fRo0eRm5uL66+/Hp9//jn27t0b8M2D4vLz85Gfn2/8PTMzEwCQnp6O7OxsCCGQnXochXk5cGiAAOARuPayADzwXvYIQNeA26pr2HtOwCUApwa4hff/CdEBl+fq5cIr5wII0YGMC2fhdrmQmZmJrKwsCCHgcrkQEhKCrKws6BqQkXIcris9LgFo8N6fW3jffdF8lzXvdW7h/bdbV9Pw7TlhTMIo8XEUe0zZ6WehAcjKykJWVhZcLhd0XYeu68jMzITH7UZGynGgICfgYyp+2akBt1b3tvjuy/c4zB5TbsZZAEB2djbS09MBAA6HA263G1lZWXC7XMhOOw53fk5Q4yQAhOnATdW8Y+X7fZmNk+9yQdY5uF0uZGVl4cKFCwgJCYHH44Hb7UZ2djY8bjcupZ1AYV5OUOOka97fz83VNHx3XsAtghsn32O6lH71+ZORkQFd11FYWAiHw4Hs7GzoOpCZ4n0+m42TBsCpe+/n1uoaDpwXyPcEN06+x5R18SyE8BjPH7fbbYyZ9/ntQUbKcXjyc0zHyVnk3y66bAUzTr7LOelnoeve509GRgbcbrcxZpmZmd6xTPX2mI1TScsWEPw64lL6WWja1WXLN06+MfM9ny+f9T5/zMbJdzn0yvN535WeYNcR3mVLlLhs+ZY5AMgquj6UjJPvMgC0rq7hwAWBAndw46QByA+wbHk8HjidTmRlZUGDd33ozssxHSf9SosG7/Nn33mBQk9w6win5n0ul7RsOZ1OY9nKkCxbxcfJtwwVXx8Gs464umyJ4JatIMbJdznMAdxU1bt86Vpw6whj2dKuLlu+cfJ4PMZz2W/ZMhkn33joGnBLNQ37z3uX92DWEQJAQeY5eK6shy9cuACn0wlN00yXrUDj5Lss4B2v/ecFCjzBrSN0zfv78T2f09PT4XA44HK5oGkasrOzvWNaZNkyGyffes+3Pvz2nDDWR8E89zIvnoXH7Ta2NQIuW/k5QY2TbxkK1b2vX3t968Mgn3uXrqybi64PnU7vZq1v3ezb1ghmnIovW0IEN06+x5SX6X3tys7OxsWLF6FpmjFmvufPpbQTcOXlBDVOwSxbsseUl3l1fXjx4kVj2fJ4PFe2VT24lOZ9/gQzTtcsW57g1xEhOpBZZFvVt93scrmM549vfejKyzEdJ9/rE4ovW0GuIwSA7IvebcOStlWzsrIgPN71obiy/pGNk288HAGWrWCee7kZ3m3n4uvDotuqxdeHgcYp0LIV7DpC4NptVd+y5XK5jG1V3/rQbJx8r09O/eq2qkcEv47IL7Zs+cbJN2bZ2dnQtKvbqsHuPxnbqhcE8t3BjVNJy1ZOTs6VdZf39ywlSuH06dMCgPjiiy/8fv7cc8+Jpk2blvj/xMbGiueee87vZ1988YUAIM6cOSOEECIkJESsXbvW7zZr164VoaGhQd+v7988ffq0323Gjx8v4uLijL/Pnj1bNGnSRLRq1Ups2LBB5Ofni1atWolvvvlGvPLKK6Jp06aiY8eO4ocffgj4e5g9e7aAdwz5h3/4h3/4h3/4h3/4h3/4h3/453f859SpUwH3HX3+o7Oaa5rm93chxDU/M7t98Z8H82/+FreZM2cO5syZ4/f37t27IyQkBM8++yy+//57fPjhhxg5ciS+/fbbEh/PjBkzMG3aNOPvHo8HFy9eRNWqVaW/BzNZWVmoV68eTp06hZiYmP/43/mtqNSjUgt72MMe9rCHPez53+tRqYU97GFP+egRwjvzr06dOqa3LdWOd7Vq1eBwOJCamur387Nnz6JmzZol/j+1atUq8fZOpxNVq1aV3sb3bwZzv7Vq1QIApKamonbt2kG1HT58GGvXrsW+ffuQmJiIO+64A9WrV8egQYMQHx+PrKysEgciLCwMYWFhfj+rVKlSiffxn4iJiVHiCemjUo9KLQB7zLBHjj1y7JFjjxx75NgTmEotAHvMsEeOPXK/RU/FihWDul2pTq4WGhqK2267Ddu2bfP7+bZt29CxY8cS/58OHTpcc/utW7eiTZs2CAkJkd7G928Gc7+NGjVCrVq1/G5TUFCA5OTkEtuEEJgwYQLmz5+PqKgouN1uFBYWAoDxX49HrS95JyIiIiIiovKn1FPNp02bhhEjRqBNmzbo0KEDli1bhpMnT+LBBx8E4J2Gffr0aaxevRoA8OCDD+LVV1/FtGnTMH78eHz55ZdISEjAW2+9ZfybjzzyCO644w7MmzcP99xzDz744AP8+9//xueffx70/WqahqlTp2Lu3LmIjY1FbGws5s6diwoVKmDo0KHXPI7ly5ejRo0auPvuuwEAnTp1wpw5c7B792589NFHaNGixW96FJuIiIiIiIh+n0q94z148GBcuHABzzzzDFJSUtCqVSts3rwZDRo0AACkpKT4fbd2o0aNsHnzZvz5z3/Ga6+9hjp16uDll1/GfffdZ9ymY8eOePvtt/GXv/wFf/3rX9GkSRO88847aNeuXdD3C3i/Eiw3NxeTJk1Ceno62rVrh61btyI6OtrvMaSlpWHu3Ll+Z2Jv27YtHn30UfTt2xc1atRAUlJSaX81/7WwsDDMnj37mmnsdlGpR6UWgD1m2CPHHjn2yLFHjj1y7CkfLQB7zLBHjj1ydvRoQgRz7nMiIiIiIiIi+k+U6jPeRERERERERFQ63PEmIiIiIiIiKkPc8SYiIiIiIiIqQ9zxJiIiIiIiKoeeeeYZ5OTk2J1BQeDJ1YiI6Hev6LdxyNSvX7+MS4iI7BUfH49FixZd861AdnnmmWcwffp0VKhQwe4UJTkcDqSkpKBGjRp2p5AJ7ngryO12Y+PGjRgwYIDdKVTOeDwebNq0CQkJCXj//fctve/8/Hy4XC5ERkZaer9UPr388stB3W7KlCllXOLlcDiMy76XRU3T/H6maRrcbrclPVQ+nTx5EvXq1fN77hAF4+uvv8Ztt91mrIt86xyf/Px8fPDBBxg0aFCZt6i2I6daj8+ePXvw1ltv4aeffoKmaYiNjcXQoUPRpk0bSzt0XUdqaqoyv5+dO3eiXbt2CA0NLfH6vLw8rFu3DiNHjrS4zH7c8VbI4cOHkZiYiKSkJKSnp6OgoMDuJABAeno61qxZg4SEBHz33Xd25xgKCwsREhJiyX3dd999WLZsGapWrWrJ/ZXWkSNH/J47PXv2tGzH+/z58xg1ahS2bt0Kj8eDdu3aYc2aNWjcuLEl91+SI0eO4MCBA7j11lvRqFEjbNq0CfPmzUNubi4GDBiAp556ihvGNmvUqJHpbTRNw9GjRy2oAZxOJ6677jqMHj0a/fv3h9PpLPF2N998syU9PgsXLsTIkSNRpUoVS++3vDp//jw0TbNtXa3aDkJWVlZQt4uJiSnjkvLH6jeyiz93YmJi8N133xmvpWlpaahTp44lb/6ptiOnWg8APP7443jxxRcRFRWFxo0bQwiBo0ePIicnB9OnT8e8efMsa9F1HWlpaahevbpl9ymj6zratm2Lf/7zn6hdu/Y111v5XPZZvXp1ULcr8zcDBNnq0qVLIiEhQXTs2FHoui66desmli9fLs6dO2d3mti2bZu4//77RXh4uLjuuuvElClTLLvvESNGiMzMzIDX79mzR7Rs2dKyng4dOoiaNWuKf/3rX5bdp5mcnByxatUq0blzZxESEiJ0XReLFi0S2dnZlnaMGzdO1KxZUzz33HNi/vz5IjY2VnTv3t3ShqI2bNggnE6nCA0NFWFhYSIpKUmEhYWJXr16ib59+wqn0ymef/55y3rmzZsncnJyjL8nJyeLvLw84+9ZWVli4sSJlvX4FBYWihdeeEG0bt1aREZGisqVK4t27dqJ119/XXg8Hst77JaSkiKef/550bx5c1GzZk3x6KOPih9//NHuLFGpUiURFhYm/vSnP4mPP/7Y9rH55JNPxA033FDi+jkjI0O0aNFC7Nixw9Km9PR0MWnSJFG1alWh67rQdV1UrVpVPPTQQyI9Pd3SFk3TRFpamqX3KaNpmvE7KemP73pVrF+/Xtx44422Nvz000/iySefFLVr1xbh4eHinnvuseR+iz93oqKixC+//GL8PTU1VWiaZlnL2bNnLbmvYKjWs2rVKhEeHi5eeeUVUVBQYPy8oKBALFq0SISHh4ukpCTLejRNEzfeeKNo3bq19I/VPbVr1xa7d+++5vrU1FTL1zuVKlUK+Kdy5coiNDTUkibueNtk165dIj4+XkRFRYnWrVuLF198UTgcDnHw4EFbu06cOCHmzJkjGjRoYGzEvPfee5Z3tG7dWtStW1ds2bLF7+cFBQVixowZIiQkRDzwwAOW9Xg8HvHCCy+IiIgIER8fL7Kysiy77+K++uorMX78eBETEyPatGkjFi5cKFJTU4XT6bTl+VOvXj2xadMm4++HDh0SDofD78XISrfddpt46qmnhMfjEYmJiSIiIkK89NJLxvVLly4VzZs3t6xH13W/jano6OhrNqasfgHKyckRnTp1Erqui7i4OPHII4+IKVOmiLi4OKHruujbt69wu93i559/FitXrrS0TQU7d+4U8fHxIjo6WrRr104sW7ZMuN1uW1ry8vLEmjVrRLdu3YSu66JevXpi1qxZ4ujRo7b09O/fXyxYsCDg9YsWLRIDBgywrOfChQuiadOmIjIyUkyYMEG89NJLYsGCBWL8+PEiMjJSNG/eXFy8eNGyHtV2vD/99FPx2Wefmf6x0rJly8TAgQPFkCFDjI3yTz75RNxyyy0iIiJCTJgwwdIeIdR4IzuYHW+rXis0TTN2SGR/rKLajuXtt98uXQ/Onz9f3H777Zb1aJompk+fLubMmSP9YxVd18XJkyfFuHHjRHh4uEhMTPS73o7tnkDOnDkjHnjgARESEiJ69uxZ5vfHqeY2aNGiBXJycjB06FAMHz4cLVq0AACEhIRg//79xt+ttG7dOqxYsQJffPEF+vTpg+HDh6N3796IjIy0pcnlcuGZZ57B888/jzFjxmD+/Pk4fPgwRo0ahcuXL2P58uXo0aOHpU2A9+MAY8aMQUpKCqZMmXLNdFQrPo/qdDoxefJkPPjgg2jWrJnxc7ueP06nE6dOnfKbTlShQgUcOnQIDRo0sLQFAKKjo/Hdd9+hSZMm8Hg8CA0NxXfffYdWrVoBAI4fP24sg1YoPkUuOjoa+/fvt2X6oM+sWbOQlJSEjRs34qabbvK7bv/+/bj77rsxYMAArF+/Hk888QQmT578mzds374dDz/8MHbv3n3NNNfMzEx07NgRS5YswR133PGb33ew0tLSMGTIECQnJ+PcuXO2T/c+fvw4Vq5cidWrV+PUqVPo0qULxo0bhz/+8Y8ICwuzpKFBgwbYsmULbrjhhhKvP3z4MOLi4oI+Wd1/a+rUqfjkk0/w73//GzVr1vS7LjU1FXFxcejWrRteeuklS3p0Xcezzz6LqKgo6e2sOneBal588UU89dRTuOmmm3Do0CEAwMyZM7FgwQJMnjwZDz30EKpVq2ZZz9dff40VK1bgnXfeQdOmTTF8+HDcf//9uO666yx/PVXptULXdSxcuBAVK1aU3m7UqFFl3uLrefTRR02Xq9mzZ1vSExkZie+//z7gR+qOHj2KG2+8EZcvX7akR7Wp+EV7Fi9ejD//+c948MEH8dJLLxnT4q3e7ikuOzsb8+bNw6JFi9CyZUv8/e9/R9euXcv+jst8156uERISIkaMGCG2bt3qN23QriOWQgjhcDjEjBkzrjmSa2eTEEJ88803omXLlqJ27doiJCREjB8/3tajzUIIsXz5cuFwOMR1110nGjZsaPxp1KiRJfffo0cPER0dLYYOHSo++ugj4zlk11jpun7NFLDo6GjbjsipdNRAxR4hhIiNjZXOZFm3bp3QNE3Ex8eXWYNqR06L+uKLL8TYsWNFTEyMuP3228WSJUtsO+IdyLZt28TQoUNFhQoVRJUqVSy737CwMHHkyJGA1x85ckSEh4db1tOgQYNrZkYV9dFHH4kGDRpY1qNpmqhXr57fa0PxP1a9Vvh6ZFPNdV0XDofDsp7mzZuLhIQEIYT3aLymaaJbt26WfyTAx+FwiKlTp4rDhw/7/dyO11NN08Snn34q9u/fL/bv3y8iIyPFpk2bjL9/8sknlh7xVmnmhmo90dHR4tChQwGvP3z4sIiOjrasp/jMOrsVH6/k5GRRo0YN0a1bN3Hx4kVbj3jn5+eL+fPni6pVq4pmzZqJd99919L7L/nsMVSmjh07hlWrVmHixInIzc3FkCFDMGzYMFtP9hQfH4/FixcjOTkZI0aMwODBg1G5cmXbenzCwsIQEhKCzMxMhIaGolOnTrZ9vUVaWhrGjRuHzz//HAkJCZa901vc1q1bcerUKaxcudJ4Dg0ePBgAbHkOCSHQrVs3v6P/OTk56N+/v98ZLffu3WtJj6Zpfr+H4n8n75mX27ZtG/D69u3bQ9M0JCQklFnD/v37pSefiYuLw4svvlhm919cSkoKVq9ejZUrVyI9PR3Dhg3Drl270LJlS8saSkPXdWiaBiEEPB6PZfdbt25dfP/997j++utLvP7AgQMlnkynrKSkpEjHqFWrVkhNTbWsBwC++eYbZY48/fOf/wx43a5du/DKK68YZ/G3wokTJ9C9e3cAQJcuXRASEoLnnnsOlSpVsqyhqLvuugsJCQk4e/YsRowYgZ49e9r6etGtWze/8ejXrx8AGMu6VW2qvWaq1nPbbbdh7dq1+Nvf/lbi9W+88QZuvfVWy3qsXIb/E3fccQf27NmDP/7xj7j99tuxZMkSyxuEEFi9ejVmzZoFl8uFuXPnYuzYsX7faGIF7njboG7dupg5cyZmzpyJ7du3IzExEZ06dYLL5cKqVaswbtw4NG3a1NKmZcuWYdGiRVi3bh0SExMxdepU9OzZ0/KNOh8hBJ5//nk8/fTTGDJkCD777DOsXbsWDz/8MDZs2IDly5dbumHz9ttv4+GHH0br1q1x4MAB1KtXz7L7Lkm9evUwa9YszJo1C9u2bUNiYiKcTifuueceDBw4EAMHDrRspV/S1K577rnHkvsuiRACTZs2NV6oL126hNatW0PXdeN6q61YscKYIudbzn3TKbOzsy3viYmJwdmzZwM+j1NTU8t8WnVaWpr0WwmcTifOnTtXpg1FNWjQAHXq1MGoUaNw9913IyQkBG63GwcOHPC7XfGp+VY6ceIEVq1ahVWrVuHUqVO44447sHz5ctx3332WNfTp0wezZs1C7969ER4e7nddbm4uZs+ebewsWKFatWo4fvw4rrvuuhKvP3bsmKVnOFdtB6GkdfHhw4cxY8YMbNy4EcOGDQu481AW8vLy/J43oaGhtp6JWaU3so8dO2bp/cmotiOnWs+jjz6KAQMGID8/H48++qjxMZfU1FTMnz8fCxculL7p9Vv74YcfTJejNWvWYPjw4RYVXat+/fr44osvMHbsWEtfI3xuvvlm/PLLL5g8eTKmTp2KChUqlPhRgLL+hgd+xlsRmZmZWLt2LRITE7F37160atXqmg0+Kx05cgQJCQl44403cOnSJfTt2xcDBw7Evffea8n9t2/fHidPnsTSpUvRv39/4+dHjx7FmDFjcPDgQbz22mvGC2RZi4yMxPPPP18mn3X9rfi+9i0xMREHDhz43X7fcFJSUlC3s2rGQsOGDYPagLNyo2vw4MFwuVxYv359idffd999cDgcWLduXZk1NGnSBC+++CL++Mc/lnj9hg0bMH36dMu+Tsz3xgxwdYO7+MujHd/jnZeXh/Xr1yMxMRHJycmoXbs2Ro0ahfj4eFu+si8tLQ233norHA4HHn74YTRr1gyapuHQoUN47bXX4Ha7sXfv3ms+b11Wxo4di59//hnbtm275jtj8/Pz0bNnTzRp0qRMZ28UpdpnLYs6c+YMZs+ejaSkJPTs2RN///vfjXNfWKX4Z+CfeOIJPPbYY9d8rtuuz8D73sh+//33Ua9ePcvfyKaSnThxAvXr1zfWzQcPHvRbFzscDstnJ73yyiuYPn06XC6X8Vn4zMxMOBwOvPDCC5g6daplLREREfjb3/6GRx999JrtjbS0NIwfPx6ffvqpZW/0V6pUCSdOnAh4joB//OMfWLJkiWWv70DJr/FF+WaUlPVrPHe8bXLixAls3boVhYWF6NKli98JPL777jskJibi5ZdftrHQy+PxYPPmzVixYgU++ugj5OfnW3K/999/PxYvXlziUTchBBYuXIi//vWvuHTpkiU9R44cQWxsrCX39VvYu3cvNxQooB9//BHt2rVDy5YtMW3aNDRv3tz4+UsvvYQff/wRu3fvLtMNmcmTJ+Ozzz7Dnj17Sjxy2rZtW3Tt2tWy9eCJEyeCup3VJwysVKkS8vLy0K9fP4wdOxY9e/b024Cww4kTJzBx4kR8/PHHxpsTmqahZ8+eWLx4MRo2bGhZy6+//oo2bdogLCwMDz30kN9zefHixcjPz8c333xj2Sylp59+Go899hgqVKhgyf0FIzMzE3PnzsUrr7yCW265BfPmzUPnzp1taQnmjUhN0yzdIC+JHW9kv/DCC5g8eTIiIiIAADt27EC7du2MEydmZ2fjiSeewOLFi8u8RTU7d+7EtGnTsGfPHgDeE8/l5OT4rX8+/vhj42MMVvn111/x7rvv4siRIwCApk2b4r777rN8VuT69esxceJENGvWDKtWrUKTJk0AeI9yP/LII2jVqhUSExONn5c1XdfRunVrjBs3DkOHDjU9SZ8VkpOTg7rdnXfeWaYd3PG2wY4dO9CnTx/jrMpOpxNJSUkYMmSIzWXAhQsXjGl5p06dwvLly5Gbm4v+/fujefPmSr2Lb+XO8I4dO4K6nV1nYM7Ly8M777yDy5cvIy4uLuDnL8tC165dg9qQ+uSTTywqAt599128//77KCwsRPfu3TFhwgTL7rskHo8Hq1atwoYNG3D8+HFomobGjRvjvvvuw4gRI2yZnrp7926MHTsWhw4d8jvC27x5c6xYsQIdO3Ys0/tX7cipqhYsWICRI0daeqbnYKWnp+Pnn3+GEAKxsbG2nRfk6NGjeOihh7B161a/DfEePXrg1VdftXR9WL9+fezbt894HX311VcxcuTIMp++GMgLL7yAefPmoVatWpg7d66tHwMqr6x6I9vhcCAlJcXYzoqJicF3331n6zdgqOL+++9Hx44djZkQ0dHR2LRpExo0aAAhBF5++WWcOHEi4Cyu34OzZ8/igQcewLZt2zBnzhzs3LkT//73vzF37lxMmTLF0u2M3bt3IyEhAevWrUNhYSHuvfdejB071pqzhiuOO942uPPOOxETE4OlS5ciIiICM2bMwKZNm3Dq1Cnbmr7//nv0798fp06dQmxsLN5++2306tULly9fhq7ruHz5Mt577z0MGDDAtkYf3zvRCQkJ+O677yy5T9+JjIDAnzWyahrqY489hoKCAixatAgAUFBQgHbt2uHgwYOoUKECXC4Xtm3bhg4dOpR5CwD8+c9/DnhdVlYW3nrrLeTn51u2sbBs2TI8+OCDiI2NRXh4OH744Qc8/vjj+Pvf/27J/RcnhEC/fv3w0Ucf4eabb0bz5s0hhMChQ4fw/fff4+6778b7779vSxvgnWHz008/AQBiY2PRunVry+77+PHjmDRpkhJHTnNycvDYY4/5vWHz8ssvK7nDSyVLT083jjxdf/31tnz9W/Gp5sV3nuzoiYiIQPfu3aUnEdqwYYOFVYFduHABb7zxhqXTdIuz641slb5OTDXXX3891qxZg/bt2wO49nezb98+9O3bF2fOnLGkR+WDMcOGDcNbb72FyMhI7Nq1CzfeeKPlDT65ublYt24dVq5ciZ07d6Jhw4aIj4/HqFGjAp6Xo6ydPn0a69evx08//QRN09C0aVPce++9qFu3riX3zx1vG1SpUgU7duwwPlt1+fJlxMTE4Pz587YdMejduzecTieeeOIJrFmzBh9++CHi4uKwYsUKAN5pod9++y12795tSx8A/Pvf/0ZCQgLef/99VKtWDffee6+x81nWqlatiujoaIwePRojRowIuDFuxXSaVq1aYe7cubj77rsBACtXrsSjjz6Kffv2oX79+oiPj8fZs2exadOmMm8JxOVy4bXXXsNzzz2HihUr4m9/+xvuv/9+S+77xhtvxIABA4wTBq1atQqTJ0+25SRmgHd8HnnkEXzwwQfXvNu7fft2DBgwwDgqZqXs7Gzs3r0bhYWFaNu2ra07mCocOX3sscewePFiDBs2DOHh4XjrrbfQpUsXvPvuu5a3FFX0Tb+iYmJi0KxZMzz++OOWnXsD8H4DRjASExPLuMRLtR6znSerjR49OqgjXStXrrSgpmRCCGzduhUJCQn44IMPEBMTY9mJFVV6I5s73oFFRETg8OHDxkd9NmzYgF69ehkf6Thx4gSaNm1q2cchVToY45Oeno6HHnoIH3zwAR555BG88847CAsLQ1JSEm6//XbLOgL55ZdfsHLlSqxevRopKSno0aMHNm/ebGnD4sWLMW3aNBQUFKBixYoQQiArKwuhoaFYsGABJk2aVOYN3PG2QUknX4mOjsaBAwfQqFEjW5qqVauG7du346abbsKlS5cQExODr7/+Gm3atAHgPQtq+/btkZGRYWnXyZMnsXLlSqxcuRKXLl1Ceno61q1bZ+lZfAHvi/E///lPJCYmYufOnejTpw/Gjh2LXr16WT5NOCYmBnv37jXehR8yZAiio6OxbNkyAN4jmH369LHsnd/i1q5di1mzZiE3Nxd/+ctfMGHCBL+vGitrkZGR+P77742NFbfbjYiICJw8eRK1atWyrMMnLi4Od911F5588skSr587dy6Sk5Px8ccfW9Z04MAB9O7dGykpKQC8z6n33nvP0s/HBbOz6HQ6UatWLfTo0cPvJItloUmTJnjuueeMN4i+/vprdOrUCXl5eZZ/3UhR77//fonrmIyMDHz99ddYuXIlkpKS8Kc//cmSHl3X0aBBA7Ru3Vp6pmGrzuirYo9KO94qO378OBITE7Fq1SqcPn0aw4YNw8iRI9G1a1fLljmV3sjmjndgNWrUwLp169ClS5cSr//ss8/wpz/9ybI3bFQ6GAMAH374IcaPH4/69esjKSkJzZs3x+XLlzF9+nQkJibisccew5w5cyzdFivJpUuXsHbtWjz11FPIyMiw9Lm8adMm3HPPPZg6dSoeffRR42svU1JS8I9//AOvvPIKPvjgA/Tp06dMO7jjbQNd17F9+3a/aXAdO3bEunXr/KZeWPm1Naqt8NetW4cVK1bgiy++QJ8+fTB8+HD07t0bkZGR2L9/v9/J6Kzm++qRpKQk5OfnY9SoUXj66actW6FVqlQJe/bsMT7f3qhRI/z1r381jvwcP34cN9xwA3Jzcy3p8dmyZQuefPJJHDt2DNOnT8e0adMQGRlpaQMQ+I0tuzZ+a9WqhS1btuCWW24p8fp9+/ahd+/eln7XcJ8+fZCeno758+cjPDwcTz/9NP7v//4Phw8ftqxhzJgxprfxeDw4e/YskpOTMX36dDzzzDNl1hMaGopjx475TTeLiIjATz/9ZPvXB8q89tprWL16Nb766itL7m/SpEl4++23jZ2S4cOH2zKlW9Ue1c/abbf8/Hxs2LABK1aswK5du9C7d28MHToUQ4YMseW1XaU3ss2eO9nZ2Zg1a9bvcse7f//+qF69esCZK6NHj8b58+fx4YcfWtKj0sEYAAgPD8esWbPw5JNPXnPyzW3btmHcuHGoXLmyZR/PLC45ORmJiYlYv349HA4HBg0ahLFjxxofHbDCnXfeic6dO+PZZ58t8fq//OUv2LlzZ9AnYfuPCbKcpmlC13WhaVrAP7quW9509uxZ4+9RUVHi6NGjxt9TU1MtbXI4HGLGjBkiKyvL7+dOp1McPHjQsg6Zo0ePiq5duwpd18WFCxcsu9927dqJ+fPnCyGE+OGHH4Su635j9dlnn4kGDRpY1vPVV1+JLl26iPDwcDF16lRx7tw5y+67JJqmieeee04sWrTI+BMeHi7++te/+v3MKiEhIeLMmTMBrz99+rQIDQ21rEcIIapXry727Nlj/P38+fNC13WRnZ1taUewPvzwQ1GvXr0yvQ9d1/3WgUJcux5U0U8//SQqVapk6X3m5eWJN998U3Tv3l1UqFBB/OlPfxJbtmwRHo/H0g4Vexo0aCAaNmwo/dOoUSPLu1RRtWpV0blzZ7F06VJx8eJF4+d2vbZXrFhR/PTTT8bfGzZsKBISEoy/Hzt2TISHh1vSEsxzp2HDhpa0qGb79u1C13Uxffp0kZaWZvw8LS1NTJs2TTgcDvHJJ5/Y0nby5Enx9NNPi8aNG4u6deuKp556ShQWFlrasH//fun1mZmZIj4+3qIar5MnT4pnnnlGNG7cWGiaJjp16iQSExPFpUuXLO3wiY6OFocPHw54/eHDh0VUVFSZd/CItw2C+dqa9PT0gEfIyoKu6+jdu7fxtRUbN27EXXfdZRyxzM/Px5YtWyx7p3XChAlYt24dWrZsiREjRmDw4MGoXLkyQkJCbD3inZ+fb3yn7pdffom+ffsiPj4evXr1sqxh/fr1GDJkCDp37oyDBw/i9ttvx8aNG43rn3jiCRw7dqxMv4O5KN/Jex544AHpybCsOsKj2tfVOBwOpKamonr16iVeb8f0QRU/7iKTkZGB+Pj4Mj0BVPF1IHDtehBQ5yRUPgcOHEDPnj2Njw1Y7cSJE1i1ahVWr16NwsJC/Pjjj8YRO/ZQcZUrV8ZNN92E4cOHY/DgwcbZ3u16bW/fvj0GDRqEadOm4eDBg7jpppvw888/G+vB5ORkjBo1CsePH7e0i661ePFi/PnPf4bL5UJMTAw0TUNmZiacTifmz5+Phx9+2Na+Y8eOYezYsUhOTsa5c+csnXkTHx+PRYsWITo62rL7lOnRowc+/fRTVK9eHSNHjkR8fDyaNWtma1NUVBQOHDgQcObj0aNHjY/bliV7J/v/TgX6HtjMzEysXbvWOFu3lRvio0aN8vv78OHDr7mNlSd/WrZsGRYtWoR169YhMTERU6dORc+ePSGEgMfjsazDx/dZyrfffhuNGjXC6NGjsW7dOlumNN53333YvHkzNm3ahLi4OEyePNnv+goVKlhyggif+vXrQ9M06WcoNU2zbMdbtQ0kIQRGjx7tt0NXlFUngylK0zRkZ2cb358thDB+lpWVZdzOrq9AKq5SpUplvsM7cuTIa96wKWk9qJply5ZZ+iZtcZqmQdM029bNqveQv5SUFKxfvx4JCQl45JFH0Lt3bwwfPtyW6bmA9+RqQ4YMwaZNm/DDDz+gd+/efm8+bt68GW3btrWk5auvvsLFixfRu3dv42erV6/G7NmzcfnyZQwYMACvvPJKwNeS/3WTJk1C//798d577xnfXhAbG4uBAwfa9nGgkg7GbNq0yfJtw6SkJDz//PPK7HhHRERg/fr16Nevn63nSCmqZcuW+OCDDwJ+E8/777+Pli1blnkHj3grYPv27UhMTMSGDRvQoEED3Hfffbjvvvss/Vof1R05cgQJCQl44403cOnSJfTt2xcDBw607Gy+uq6jfv36GDVqFG677baAt/OdoIXss337djz88MPYvXv3NTuOmZmZ6NixI15//XV07tzZkp5gPssMWHtW4ZLOlO3b+S56+ff4WULVTJs2rcSfZ2Zm4ptvvsEvv/yCnTt3Wvp64fucbmJiIj7//HP069cPY8aMQa9eva75fOHvrYc7T8HzneU4KSkJp0+fxpAhQzB69Gjcddddlm6sf/LJJ/jwww9Ru3ZtTJ48GREREcZ1Tz/9NO68886AJ/X6LfXq1Qtdu3bFE088AcD7Na+33norRo8ejRtuuAH/+Mc/8MADD2DOnDll3qIa1Y7olnQwxs7zS5Q0i438JSUlYeLEiXjxxRf9TvrrcrmwdOlS45tNRo8eXaYd3PG2ya+//opVq1YhMTERly9fxqBBg/D666/bfuIw1Xk8HmzevBkrVqzARx99ZOlXR5ixakflyJEjmDVrFpYuXVrijuXEiRPx7LPPWnYiMdV2dO+++2507do14LuaL7/8Mj799FPLznKsomBPHnLnnXeWcYk6VDvLuk/xr6DziYmJQfPmzdGvXz+sXLnSsq/LKnoyszFjxmD48OGoWrWqJfddHnp69+6NLl26cOepFDweDz7++GMkJCRg48aNiIqKwoULFyy579zcXEyfPh3vv/8+CgsL0b17d7z88su2fL1i7dq1sXHjRuPbZGbOnInk5GR8/vnnAIB3330Xs2fPxo8//mh5m90cDgdSUlKU2bFU7WCMrutIS0sL+JE28po+fToWLFiA6OhoNGnSBID3DcBLly5hypQpeOmll8q8gTveNujTp4/xrvywYcPQq1cvOBwO2z+/rKILFy4YG1GnTp3C8uXLkZubi/79+6N58+bKrIStNGHCBFSqVAkvvPBCidc/8cQTyMrKwpIlSyzpUW1Ht0GDBtiyZQtuuOGGEq8/fPgw4uLicPLkSUt6VFR0OrmMKlPNraDaWdaDtX//ftx6662WzU7wbXC2bt1aOj3Yqs/Cq9bDnaf/zvnz57F69eqAMz1+a76jXMOGDUNERATefPNNdOnSBe+++64l919UeHg4jhw5Ykyb/sMf/oBevXrhL3/5CwDvx6huvPFGZGdnW95mN9WO6Kp0MAbw9lSsWNH0IxsXL160pEdlu3fvxltvvWV8XKFp06a4//77LTvDOj/jbYOtW7diypQpmDhxovGVUOTv+++/R//+/XHq1CnExsbi7bffRq9evXD58mXouo6XXnoJ7733HgYMGGBpV0lvBOTl5aF///6WHdHdsWMH3njjjYDXDxo0CEOHDrWkBfBu+M+bNy/g9XFxcXjxxRct60lLS0NISEjA651Op2Xf9amqSpUqBfWZyt/TVPPSTPXftGkTJk6cqMSOt9VK+iy8nVTrSU9PR82aNY2/Jycn+5188/bbb8epU6fsSFNCeno61qxZg1GjRpU4Q+qtt97CuHHjLOvZsGEDEhIScP/99wMAhg0bhk6dOsHtdlv+2dSaNWvi2LFjqFevHgoKCrB37148/fTTxvXZ2dnS17b/dSot5yqeP+Lpp5+27HvDy7P27dtb+jVmxXHH2wY7d+5EYmIi2rRpg+bNmxtn7aarHn/8cdx4441Ys2YN1qxZg379+qFPnz5YsWIFAGDy5Ml4/vnnLdvxNnsjYMGCBZa9EXDixAnpu77VqlWzdMNOtR3dunXr4vvvvze+l7W4AwcOoHbt2pb1qOjTTz81LgshjGWr6HdYU2CdOnUyjmj+3qxatcruBD+q9XDnSe7VV1/FgQMHrjkpKABUrFgRO3fuRHZ2Np566ilLek6dOuX3pnnbtm3hdDpx5swZy0/Y1atXLzz55JOYN28e3n//fVSoUMGv7cCBA8b02N+jpk2bKnNEV7XPnAPA/fffr8yMABUdOHAgqNvddNNNZdrBHW8bdOjQAR06dMCiRYvw9ttvIzExEdOmTYPH48G2bdtQr149pRZmO+zZswfbt2/HTTfdhFtuuQXLli3DpEmTjOk9kydPtvQdK5XeCKhYsSJ++eWXgGfH//nnny2dIqzajm6fPn0wa9Ys9O7d2zhrt09ubi5mz56Nfv36WdajouKf3XY4HGjfvr1l5wUo76w4y7qq4uPjTW+jaRoSEhIsqFEPd57k1q9fj/nz5we8/oEHHsD06dMt2/F2u90IDQ31+5nT6YTL5bLk/ot69tlnce+99+LOO+9EVFQUkpKS/NoSExMRFxdneZcqVDqiq9pZxFWaDaCqW265xfjGi0Cs+HgAP+OtiP/7v/8zztqdkZGBHj164F//+pfdWbYp/nme6Oho7N+/39gxsPq7j6tVq2a8EXDp0iXExMTg66+/No56HT58GO3bt0dGRkaZtwwaNAiFhYUBPzN9zz33IDQ01LLPqE2ePBmfffYZ9uzZU+KObtu2bdG1a1e8/PLLlvSkpaXh1ltvhcPhwMMPP4xmzZpB0zQcOnQIr732GtxuN/bu3es3HfT3rvjyReowO+lbRkYGkpOTLf0sYYMGDdC6dWvpBszv9eSF586dw7333osvvvgCUVFRWLVqld8YduvWDe3bt8dzzz1nY6V9oqOjcfDgQdSvX7/E60+ePIlWrVoFfR6K/5au6+jdu7ffWeY3btyIu+66C5GRkcbPrHyjLTMzE1FRUddMdb948SKioqKueaPg90DFz3izp3w5ceJEULcLdFDrt8Idb8W43W5s3LgRiYmJv/sd76JnaIyOjsaBAweM79e0esdbpTcC9u3bhw4dOqBfv354/PHH0axZMwDenf8XXngBmzZtwq5du3DrrbeWeQug5o7uiRMnMHHiRHz88cfGzoGmaejZsycWL16Mhg0bWtZSHnDHW12qfR1d0bOIx8fH2/oVOiqT7TxFR0f/bqebV6pUCVu2bAk4Y2337t3o1auXJW9iA+otX1QyFc9qzrOIly/dunXDQw89FPDN7PPnz6Nt27Y4evRomXZwx5uUVPxd6OLvQOfn52PLli2W7nir9EbAhx9+iPj4+Gu+cqVq1apYsWKF5d8nruqObnp6On7++WcIIRAbG4vKlSvb0qG64s9nIpmi35u9a9cu9O3bF2PHjkVcXNzvfspjMFPxAVj29W+q6dq1K9q1a4fnn3++xOufeOIJfP31137noSBS7YguzyJe/ui6Dl3XMXPmTL/zbvhYtR3PHW9SkmrvQqv2RgDgnca9ZcsWY8eyadOmiIuLQ4UKFSxrKI47uuVD8Xd8S5paCVg7vZLKpxMnTmDVqlVYvXo1CgsL8eOPPyIqKsruLNtwKr7c+vXrcf/99+Oll17CxIkTjRkBbrcbixcvxqOPPoo333wTAwcOtLmUKDBd17Fw4ULTz5yPGjXKoiIyo+s6li5disceewxdu3bFG2+84fdaxR1vIoWo9kYA0X+Dz2f6rZw8eRKrVq3CqlWrUFBQgMOHD/+ud7w5Fd/czJkz8fe//x3R0dFo3LgxNE3DL7/8gkuXLuGxxx4LeDScSBWqHYEnc74xu3DhAgYMGIDQ0FB88MEHln9klDveROXM6tWrg7rdyJEjy7iEiH6Pik41//zzz9GvXz+MGTMGvXr1Mr554veMU/HN7dmzB2vXrsWRI0eMGVtDhw5F27Zt7U4jMqXaZ87JXNE3SzIzMzFkyBB89dVXeOedd9C9e3fueBNRyXRdR1RUFJxOZ8CpjJqm8bNFRPSbK3pEd8yYMRg+fDiqVq1qd5ayOBXfX05ODh577DG8//77KCwsRLdu3fDKK6+gWrVqdqcRBY1HvMuf4mMmhMCMGTOwYMECzJs3D0OHDrVkx5vf401Uztxwww1IS0vD8OHDER8fj5tuusnuJCL6nXj99ddRv359NGrUCMnJyUhOTi7xdjw/gJemacZ3x3o8HrtzbDd79mysWrUKw4YNQ0REBN58801MnDjRsq+/JPotcFkuf4rPNtI0Dc8//zxat26NsWPHYvv27ZZ0cMebqJw5ePAgvvrqKyQmJuKOO+7A9ddfj7Fjx2LYsGGIiYmxO4+I/oeNHDmS06VNlDQV/9VXX+VUfHjfkElISMD9998PABg2bBg6deoEt9t9zVevERH9VgLNEB08eDCaNWuGAQMGWNLBqeZE5Vhubi7effddrFy5El9//TUGDBiAxMRE4+zrRERkHU7FlwsNDcWxY8dQt25d42cRERH46aefUK9ePRvLiOh/WXJyMjp16gSns+RjzhcuXMCmTZvK/PxI3PEm+h+wY8cOzJ49Gzt27MD58+f5NV5ERDbQdR3169dH69atpTMDfq9T8R0OB1JTU1G9enXjZ9HR0Thw4AAaNWpkYxkRUdnjVHOicur06dNISkrCypUrcfnyZQwfPhxLlizhTjcRkU04FV9OCIHRo0f7zcrKy8vDgw8+iMjISONnv9c3JojofxuPeBOVM+vWrcPKlSuRnJyMnj17YsyYMejbty8/H0dEREobM2ZMULdbuXJlGZcQEVmPO95E5YxvKuOwYcNQs2bNgLebMmWKhVVERERERBQId7yJypmGDRuaTmXUNA1Hjx61qIiIiIiIiGS4401ERERERERUhn7fXyhJVA5t374dLVq0QFZW1jXXZWZmomXLlti5c6cNZUREREREVBLueBOVMwsXLsT48eMRExNzzXUVK1bEAw88gAULFthQRkREREREJeGON1E5s3//fvTq1Svg9XFxcfj2228tLCIiIiIiIhnueBOVM2lpaQgJCQl4vdPpxLlz5ywsIiIiIiIiGe54E5UzdevWxffffx/w+gMHDqB27doWFhERERERkQx3vInKmT59+mDWrFnIy8u75rrc3FzMnj0b/fr1s6GMiIiIiIhKwq8TIypn0tLScOutt8LhcODhhx9Gs2bNoGkaDh06hNdeew1utxt79+5FzZo17U4lIiIiIiJwx5uoXDpx4gQmTpyIjz/+GL5FWNM09OzZE4sXL0bDhg3tDSQiIiIiIgN3CuFOdgAAAIdJREFUvInKsfT0dPz8888QQiA2NhaVK1e2O4mIiIiIiIrhjjcRERERERFRGeLJ1YiIiIiIiIjKEHe8iYiIiIiIiMoQd7yJiIiIiIiIyhB3vImIiIiIiIjKEHe8iYiIiIiIiMoQd7yJiIiIiIiIyhB3vImIiIiIiIjKEHe8iYiIiIiIiMrQ/wNt2S9oyUXuwQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the risk contribution per asset\n",
    "\n",
    "mu = Y.mean()\n",
    "cov = Y.cov() # Covariance matrix\n",
    "returns = Y # Returns of the assets\n",
    "\n",
    "ax = rp.plot_risk_con(w=w,\n",
    "                      cov=cov,\n",
    "                      returns=returns,\n",
    "                      rm=rm,\n",
    "                      rf=0,\n",
    "                      alpha=0.05,\n",
    "                      color=\"tab:blue\",\n",
    "                      height=6,\n",
    "                      width=10,\n",
    "                      t_factor=252,\n",
    "                      ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4 Calculate Optimal HRP Portfolios for Several Risk Measures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Risk Measures available:\n",
    "#\n",
    "# 'vol': Standard Deviation.\n",
    "# 'MV': Variance.\n",
    "# 'MAD': Mean Absolute Deviation.\n",
    "# 'GMD': Gini Mean Difference.\n",
    "# 'MSV': Semi Standard Deviation.\n",
    "# 'FLPM': First Lower Partial Moment (Omega Ratio).\n",
    "# 'SLPM': Second Lower Partial Moment (Sortino Ratio).\n",
    "# 'VaR': Conditional Value at Risk.\n",
    "# 'CVaR': Conditional Value at Risk.\n",
    "# 'TG': Tail Gini.\n",
    "# 'EVaR': Entropic Value at Risk.\n",
    "# 'WR': Worst Realization (Minimax).\n",
    "# 'RG': Range of returns.\n",
    "# 'CVRG': CVaR Range of returns.\n",
    "# 'TGRG': Tail Gini Range of returns.\n",
    "# 'MDD': Maximum Drawdown of uncompounded cumulative returns (Calmar Ratio).\n",
    "# 'ADD': Average Drawdown of uncompounded cumulative returns.\n",
    "# 'DaR': Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'CDaR': Conditional Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'EDaR': Entropic Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'UCI': Ulcer Index of uncompounded cumulative returns.\n",
    "# 'MDD_Rel': Maximum Drawdown of compounded cumulative returns (Calmar Ratio).\n",
    "# 'ADD_Rel': Average Drawdown of compounded cumulative returns.\n",
    "# 'DaR_Rel': Drawdown at Risk of compounded cumulative returns.\n",
    "# 'CDaR_Rel': Conditional Drawdown at Risk of compounded cumulative returns.\n",
    "# 'EDaR_Rel': Entropic Drawdown at Risk of compounded cumulative returns.\n",
    "# 'UCI_Rel': Ulcer Index of compounded cumulative returns.\n",
    "\n",
    "rms = ['vol', 'MV', 'MAD', 'GMD', 'MSV', 'FLPM', 'SLPM', 'VaR',\n",
    "       'CVaR', 'TG', 'EVaR', 'WR', 'RG', 'CVRG', 'TGRG', 'MDD', \n",
    "       'ADD', 'DaR', 'CDaR', 'EDaR', 'UCI', 'MDD_Rel',\n",
    "       'ADD_Rel', 'DaR_Rel', 'CDaR_Rel', 'EDaR_Rel', 'UCI_Rel']\n",
    "\n",
    "w_s = pd.DataFrame([])\n",
    "\n",
    "for i in rms:\n",
    "    w = port.optimization(model=model,\n",
    "                          codependence=codependence,\n",
    "                          rm=i,\n",
    "                          rf=rf,\n",
    "                          linkage=linkage,\n",
    "                          max_k=max_k,\n",
    "                          leaf_order=leaf_order)\n",
    "\n",
    "    w_s = pd.concat([w_s, w], axis=1)\n",
    "    \n",
    "w_s.columns = rms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "#T_6c430_row1_col2, #T_6c430_row3_col17, #T_6c430_row6_col10, #T_6c430_row6_col11, #T_6c430_row7_col3, #T_6c430_row10_col1, #T_6c430_row10_col6, #T_6c430_row22_col18, #T_6c430_row22_col24 {\n",
       "  background-color: #f7fcb9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col3, #T_6c430_row3_col4, #T_6c430_row13_col26, #T_6c430_row14_col4 {\n",
       "  background-color: #f8fcbd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col4, #T_6c430_row3_col20, #T_6c430_row10_col14, #T_6c430_row16_col15 {\n",
       "  background-color: #fbfdcf;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col5, #T_6c430_row2_col9, #T_6c430_row4_col19, #T_6c430_row4_col24, #T_6c430_row13_col15, #T_6c430_row18_col9 {\n",
       "  background-color: #ecf7b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col7, #T_6c430_row3_col8, #T_6c430_row3_col9, #T_6c430_row3_col21, #T_6c430_row3_col24, #T_6c430_row10_col9, #T_6c430_row10_col13, #T_6c430_row14_col9, #T_6c430_row16_col24, #T_6c430_row18_col21 {\n",
       "  background-color: #fafdcb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col8, #T_6c430_row3_col16, #T_6c430_row6_col24, #T_6c430_row8_col14, #T_6c430_row16_col6, #T_6c430_row16_col21 {\n",
       "  background-color: #fcfed6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col9, #T_6c430_row7_col8, #T_6c430_row8_col15, #T_6c430_row16_col7, #T_6c430_row16_col25 {\n",
       "  background-color: #fbfed0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col10, #T_6c430_row3_col0, #T_6c430_row4_col9, #T_6c430_row6_col13, #T_6c430_row22_col1, #T_6c430_row22_col22 {\n",
       "  background-color: #e4f4ab;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col11, #T_6c430_row10_col16, #T_6c430_row11_col8, #T_6c430_row13_col6, #T_6c430_row19_col14, #T_6c430_row22_col4 {\n",
       "  background-color: #b8e293;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col12 {\n",
       "  background-color: #c0e597;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col13, #T_6c430_row6_col15, #T_6c430_row7_col4, #T_6c430_row7_col9, #T_6c430_row8_col0, #T_6c430_row16_col3, #T_6c430_row16_col19 {\n",
       "  background-color: #fafdc9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col14, #T_6c430_row8_col12 {\n",
       "  background-color: #fafdc8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col15, #T_6c430_row1_col21, #T_6c430_row7_col2, #T_6c430_row10_col7, #T_6c430_row13_col17 {\n",
       "  background-color: #f3fab6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col16 {\n",
       "  background-color: #c5e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col17, #T_6c430_row2_col0, #T_6c430_row14_col5, #T_6c430_row17_col15 {\n",
       "  background-color: #cfec9e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col18, #T_6c430_row1_col24, #T_6c430_row4_col8, #T_6c430_row6_col0, #T_6c430_row14_col10, #T_6c430_row14_col21, #T_6c430_row19_col9, #T_6c430_row20_col20, #T_6c430_row20_col22 {\n",
       "  background-color: #e2f4aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col19, #T_6c430_row8_col20, #T_6c430_row18_col6, #T_6c430_row22_col10, #T_6c430_row24_col10, #T_6c430_row24_col18, #T_6c430_row24_col25 {\n",
       "  background-color: #e7f6ad;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col20, #T_6c430_row1_col26, #T_6c430_row2_col2, #T_6c430_row5_col8, #T_6c430_row12_col4 {\n",
       "  background-color: #c1e698;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col22, #T_6c430_row2_col3, #T_6c430_row3_col12, #T_6c430_row4_col3, #T_6c430_row15_col6, #T_6c430_row15_col7, #T_6c430_row19_col4, #T_6c430_row24_col0 {\n",
       "  background-color: #c7e89a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row1_col23, #T_6c430_row4_col0, #T_6c430_row9_col21, #T_6c430_row11_col19, #T_6c430_row12_col15, #T_6c430_row15_col4 {\n",
       "  background-color: #cbea9c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col1, #T_6c430_row2_col5, #T_6c430_row11_col10, #T_6c430_row17_col7, #T_6c430_row20_col14 {\n",
       "  background-color: #acdd8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col4, #T_6c430_row17_col24, #T_6c430_row19_col10, #T_6c430_row19_col26, #T_6c430_row20_col19 {\n",
       "  background-color: #e1f3a9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col6, #T_6c430_row4_col4, #T_6c430_row6_col3, #T_6c430_row7_col12, #T_6c430_row12_col8, #T_6c430_row20_col15, #T_6c430_row24_col12 {\n",
       "  background-color: #dbf1a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col7, #T_6c430_row2_col13, #T_6c430_row2_col14, #T_6c430_row4_col16, #T_6c430_row6_col1, #T_6c430_row6_col5, #T_6c430_row11_col16, #T_6c430_row18_col0, #T_6c430_row19_col17, #T_6c430_row24_col17, #T_6c430_row24_col26 {\n",
       "  background-color: #daf0a4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col8, #T_6c430_row3_col13, #T_6c430_row3_col14, #T_6c430_row4_col25, #T_6c430_row17_col23, #T_6c430_row19_col21, #T_6c430_row20_col12, #T_6c430_row24_col19 {\n",
       "  background-color: #eaf7af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col10, #T_6c430_row4_col13, #T_6c430_row7_col10, #T_6c430_row19_col18 {\n",
       "  background-color: #d3eda0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col11, #T_6c430_row4_col1, #T_6c430_row9_col19, #T_6c430_row17_col3 {\n",
       "  background-color: #abdc8d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col12, #T_6c430_row7_col22, #T_6c430_row11_col14, #T_6c430_row13_col5, #T_6c430_row17_col8, #T_6c430_row20_col9 {\n",
       "  background-color: #a2d88a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col15, #T_6c430_row4_col7, #T_6c430_row10_col5, #T_6c430_row14_col15, #T_6c430_row17_col18, #T_6c430_row20_col17, #T_6c430_row20_col25, #T_6c430_row20_col26 {\n",
       "  background-color: #ddf1a6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col16, #T_6c430_row5_col22, #T_6c430_row20_col3 {\n",
       "  background-color: #70c275;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col17, #T_6c430_row5_col17, #T_6c430_row9_col12, #T_6c430_row12_col10 {\n",
       "  background-color: #7fc97c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col18, #T_6c430_row11_col11, #T_6c430_row13_col3, #T_6c430_row15_col20, #T_6c430_row18_col10, #T_6c430_row20_col10 {\n",
       "  background-color: #9ad587;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col19, #T_6c430_row4_col5, #T_6c430_row5_col6, #T_6c430_row9_col23, #T_6c430_row11_col9, #T_6c430_row15_col0, #T_6c430_row15_col3, #T_6c430_row17_col5 {\n",
       "  background-color: #b6e192;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col20, #T_6c430_row20_col2 {\n",
       "  background-color: #62bb6e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row2_col21, #T_6c430_row3_col1, #T_6c430_row19_col25 {\n",
       "  background-color: #def2a7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col22, #T_6c430_row14_col18 {\n",
       "  background-color: #77c679;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col23, #T_6c430_row19_col5 {\n",
       "  background-color: #84cb7e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col24, #T_6c430_row12_col2, #T_6c430_row13_col13, #T_6c430_row17_col0, #T_6c430_row20_col8 {\n",
       "  background-color: #9dd688;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col25, #T_6c430_row5_col2, #T_6c430_row5_col3, #T_6c430_row10_col22, #T_6c430_row15_col2, #T_6c430_row15_col23 {\n",
       "  background-color: #b9e294;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row2_col26, #T_6c430_row21_col8 {\n",
       "  background-color: #68be71;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col2, #T_6c430_row4_col20, #T_6c430_row11_col22, #T_6c430_row14_col11, #T_6c430_row18_col3, #T_6c430_row19_col8, #T_6c430_row20_col24, #T_6c430_row24_col16 {\n",
       "  background-color: #ddf2a6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col3, #T_6c430_row3_col5, #T_6c430_row20_col1, #T_6c430_row24_col8, #T_6c430_row24_col22 {\n",
       "  background-color: #e0f3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col7, #T_6c430_row3_col11, #T_6c430_row4_col17, #T_6c430_row8_col23 {\n",
       "  background-color: #eff9b3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col10, #T_6c430_row8_col2, #T_6c430_row13_col20, #T_6c430_row13_col24, #T_6c430_row16_col5, #T_6c430_row22_col19, #T_6c430_row22_col25 {\n",
       "  background-color: #f6fcb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col15, #T_6c430_row3_col18, #T_6c430_row6_col12, #T_6c430_row8_col25, #T_6c430_row13_col16, #T_6c430_row14_col13 {\n",
       "  background-color: #f9fdc4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col19, #T_6c430_row7_col13, #T_6c430_row8_col1, #T_6c430_row14_col14, #T_6c430_row16_col18, #T_6c430_row18_col15 {\n",
       "  background-color: #f9fdc5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col22, #T_6c430_row6_col23, #T_6c430_row6_col26, #T_6c430_row8_col21 {\n",
       "  background-color: #fdfed9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col25 {\n",
       "  background-color: #fbfdce;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row3_col26, #T_6c430_row6_col17, #T_6c430_row6_col18, #T_6c430_row8_col13, #T_6c430_row16_col12 {\n",
       "  background-color: #fcfed4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col2, #T_6c430_row11_col20, #T_6c430_row13_col10, #T_6c430_row15_col8 {\n",
       "  background-color: #c4e799;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col6, #T_6c430_row4_col14, #T_6c430_row9_col22, #T_6c430_row22_col8, #T_6c430_row24_col4, #T_6c430_row24_col13 {\n",
       "  background-color: #d5eea1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col10, #T_6c430_row4_col26, #T_6c430_row17_col21, #T_6c430_row18_col2, #T_6c430_row19_col20, #T_6c430_row19_col24 {\n",
       "  background-color: #dcf1a5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col11, #T_6c430_row5_col7, #T_6c430_row20_col21, #T_6c430_row24_col6 {\n",
       "  background-color: #d2eda0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col12, #T_6c430_row7_col16, #T_6c430_row7_col26, #T_6c430_row12_col12, #T_6c430_row13_col2, #T_6c430_row13_col14, #T_6c430_row20_col13 {\n",
       "  background-color: #98d486;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col15, #T_6c430_row4_col18, #T_6c430_row4_col21, #T_6c430_row8_col18, #T_6c430_row13_col19, #T_6c430_row18_col23 {\n",
       "  background-color: #eef9b3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col22, #T_6c430_row6_col2, #T_6c430_row17_col19, #T_6c430_row20_col23 {\n",
       "  background-color: #d7efa2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row4_col23, #T_6c430_row8_col5, #T_6c430_row8_col22, #T_6c430_row8_col26, #T_6c430_row16_col16, #T_6c430_row16_col20, #T_6c430_row24_col15 {\n",
       "  background-color: #edf8b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col0, #T_6c430_row5_col13, #T_6c430_row12_col0, #T_6c430_row15_col5, #T_6c430_row15_col16, #T_6c430_row22_col13 {\n",
       "  background-color: #b2df90;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col1, #T_6c430_row11_col2, #T_6c430_row15_col15, #T_6c430_row21_col1 {\n",
       "  background-color: #7ec97b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col4, #T_6c430_row13_col11, #T_6c430_row19_col7, #T_6c430_row24_col3 {\n",
       "  background-color: #bde496;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col5, #T_6c430_row9_col20, #T_6c430_row15_col22 {\n",
       "  background-color: #b1df90;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col9, #T_6c430_row12_col6, #T_6c430_row13_col4, #T_6c430_row14_col25, #T_6c430_row24_col2 {\n",
       "  background-color: #b5e092;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col10, #T_6c430_row19_col1 {\n",
       "  background-color: #5ab76a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row5_col11 {\n",
       "  background-color: #3fa85b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row5_col12 {\n",
       "  background-color: #005a31;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row5_col14, #T_6c430_row11_col12, #T_6c430_row15_col18, #T_6c430_row19_col0, #T_6c430_row22_col7 {\n",
       "  background-color: #a6da8b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col15, #T_6c430_row5_col24, #T_6c430_row5_col25, #T_6c430_row12_col25, #T_6c430_row15_col1 {\n",
       "  background-color: #88cd7f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col16, #T_6c430_row23_col16 {\n",
       "  background-color: #6dc073;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col18, #T_6c430_row5_col19, #T_6c430_row18_col12, #T_6c430_row20_col6 {\n",
       "  background-color: #8ed082;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col20 {\n",
       "  background-color: #4ab062;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row5_col21, #T_6c430_row11_col5 {\n",
       "  background-color: #81ca7d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col23, #T_6c430_row13_col12, #T_6c430_row22_col3 {\n",
       "  background-color: #83cb7d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row5_col26, #T_6c430_row9_col11, #T_6c430_row21_col13 {\n",
       "  background-color: #4eb163;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row6_col4, #T_6c430_row6_col6, #T_6c430_row6_col8, #T_6c430_row10_col19, #T_6c430_row11_col15, #T_6c430_row18_col13, #T_6c430_row19_col15, #T_6c430_row19_col16, #T_6c430_row20_col18 {\n",
       "  background-color: #e3f4aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col7, #T_6c430_row7_col25, #T_6c430_row10_col18, #T_6c430_row12_col9, #T_6c430_row19_col19 {\n",
       "  background-color: #d6efa2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col14, #T_6c430_row14_col3, #T_6c430_row18_col17, #T_6c430_row22_col20 {\n",
       "  background-color: #ebf7b0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col16, #T_6c430_row8_col10, #T_6c430_row16_col4 {\n",
       "  background-color: #fdfedb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col19, #T_6c430_row10_col10, #T_6c430_row14_col8, #T_6c430_row16_col0, #T_6c430_row16_col1 {\n",
       "  background-color: #fbfed2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col20 {\n",
       "  background-color: #fcfed7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col21, #T_6c430_row7_col7, #T_6c430_row10_col8 {\n",
       "  background-color: #fafdcc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col22 {\n",
       "  background-color: #fdfedd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row6_col25, #T_6c430_row8_col6, #T_6c430_row8_col7 {\n",
       "  background-color: #fcfed3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col11, #T_6c430_row7_col20 {\n",
       "  background-color: #8dcf81;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col15, #T_6c430_row11_col1, #T_6c430_row11_col21, #T_6c430_row17_col25, #T_6c430_row18_col5, #T_6c430_row18_col14, #T_6c430_row19_col11, #T_6c430_row19_col23, #T_6c430_row24_col9 {\n",
       "  background-color: #dff3a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col17, #T_6c430_row11_col4, #T_6c430_row11_col6, #T_6c430_row12_col3, #T_6c430_row14_col19, #T_6c430_row15_col14 {\n",
       "  background-color: #a7db8c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col18, #T_6c430_row9_col15, #T_6c430_row12_col13 {\n",
       "  background-color: #c8e99b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col19 {\n",
       "  background-color: #d0ec9f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col21, #T_6c430_row19_col22, #T_6c430_row22_col16, #T_6c430_row24_col21 {\n",
       "  background-color: #e6f5ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col23, #T_6c430_row10_col20, #T_6c430_row12_col7, #T_6c430_row24_col5 {\n",
       "  background-color: #afde8f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row7_col24 {\n",
       "  background-color: #ccea9d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row8_col16, #T_6c430_row8_col17, #T_6c430_row10_col2, #T_6c430_row14_col12 {\n",
       "  background-color: #e9f6af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row8_col19, #T_6c430_row10_col0 {\n",
       "  background-color: #f7fcbc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row8_col24, #T_6c430_row10_col21, #T_6c430_row13_col25, #T_6c430_row17_col26, #T_6c430_row18_col8, #T_6c430_row18_col26, #T_6c430_row22_col15 {\n",
       "  background-color: #f5fbb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row9_col0 {\n",
       "  background-color: #359c53;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col1, #T_6c430_row20_col7, #T_6c430_row22_col2 {\n",
       "  background-color: #74c477;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row9_col2, #T_6c430_row21_col10 {\n",
       "  background-color: #2b8e4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col3, #T_6c430_row21_col2 {\n",
       "  background-color: #2e924c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col4 {\n",
       "  background-color: #389f55;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col5 {\n",
       "  background-color: #288a47;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col6 {\n",
       "  background-color: #379e54;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col7 {\n",
       "  background-color: #49af61;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col8, #T_6c430_row9_col10, #T_6c430_row14_col17 {\n",
       "  background-color: #42ab5d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col9 {\n",
       "  background-color: #3fa95c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col13 {\n",
       "  background-color: #39a056;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col14, #T_6c430_row21_col0 {\n",
       "  background-color: #3ca458;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row9_col16, #T_6c430_row11_col25, #T_6c430_row11_col26, #T_6c430_row12_col14, #T_6c430_row12_col21, #T_6c430_row18_col1 {\n",
       "  background-color: #c9e99c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row9_col17, #T_6c430_row9_col24, #T_6c430_row10_col17, #T_6c430_row10_col23, #T_6c430_row11_col17, #T_6c430_row15_col13, #T_6c430_row17_col2 {\n",
       "  background-color: #aedd8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row9_col18, #T_6c430_row11_col13 {\n",
       "  background-color: #a1d889;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row9_col25, #T_6c430_row10_col26, #T_6c430_row19_col13 {\n",
       "  background-color: #b3e091;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row9_col26, #T_6c430_row11_col18, #T_6c430_row11_col24, #T_6c430_row24_col7 {\n",
       "  background-color: #bee596;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row10_col3, #T_6c430_row13_col18, #T_6c430_row16_col26, #T_6c430_row17_col20, #T_6c430_row22_col23 {\n",
       "  background-color: #f0f9b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row10_col15, #T_6c430_row14_col0, #T_6c430_row14_col6, #T_6c430_row18_col7, #T_6c430_row22_col17, #T_6c430_row22_col21, #T_6c430_row24_col11 {\n",
       "  background-color: #f2fab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row10_col24, #T_6c430_row22_col9, #T_6c430_row24_col14, #T_6c430_row24_col20, #T_6c430_row24_col23 {\n",
       "  background-color: #d9f0a3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row10_col25, #T_6c430_row14_col2, #T_6c430_row17_col17, #T_6c430_row18_col4, #T_6c430_row24_col24 {\n",
       "  background-color: #e5f5ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row11_col0 {\n",
       "  background-color: #93d284;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row11_col3 {\n",
       "  background-color: #86cc7f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row11_col7, #T_6c430_row15_col12, #T_6c430_row17_col6 {\n",
       "  background-color: #a4d98a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row11_col23, #T_6c430_row13_col7 {\n",
       "  background-color: #a9db8c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row12_col1, #T_6c430_row23_col22 {\n",
       "  background-color: #75c578;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row12_col5, #T_6c430_row22_col5 {\n",
       "  background-color: #7ac77a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row12_col11, #T_6c430_row17_col10 {\n",
       "  background-color: #64bc6f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row12_col16, #T_6c430_row12_col20, #T_6c430_row12_col22, #T_6c430_row12_col26, #T_6c430_row21_col17, #T_6c430_row21_col18, #T_6c430_row21_col23, #T_6c430_row21_col24, #T_6c430_row23_col0, #T_6c430_row23_col1, #T_6c430_row23_col2, #T_6c430_row23_col3, #T_6c430_row23_col4, #T_6c430_row23_col5, #T_6c430_row23_col6, #T_6c430_row23_col7, #T_6c430_row23_col8, #T_6c430_row23_col9, #T_6c430_row23_col10, #T_6c430_row23_col11, #T_6c430_row23_col12, #T_6c430_row23_col13, #T_6c430_row23_col14, #T_6c430_row23_col15, #T_6c430_row23_col19, #T_6c430_row23_col21, #T_6c430_row23_col25 {\n",
       "  background-color: #004529;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row12_col17 {\n",
       "  background-color: #00512e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row12_col18 {\n",
       "  background-color: #3aa257;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row12_col19, #T_6c430_row14_col24 {\n",
       "  background-color: #89ce80;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row12_col23 {\n",
       "  background-color: #00542f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row12_col24 {\n",
       "  background-color: #3da559;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row13_col0, #T_6c430_row15_col24, #T_6c430_row17_col13, #T_6c430_row22_col0 {\n",
       "  background-color: #9cd687;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row13_col1, #T_6c430_row17_col11 {\n",
       "  background-color: #43ac5e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row13_col8, #T_6c430_row13_col9, #T_6c430_row15_col9, #T_6c430_row19_col6, #T_6c430_row22_col12 {\n",
       "  background-color: #c3e698;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row13_col21, #T_6c430_row14_col7, #T_6c430_row15_col10, #T_6c430_row16_col23 {\n",
       "  background-color: #f4fbb7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row13_col23, #T_6c430_row18_col16, #T_6c430_row18_col18 {\n",
       "  background-color: #f7fcba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row14_col1, #T_6c430_row18_col20 {\n",
       "  background-color: #edf8b2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row14_col16 {\n",
       "  background-color: #005730;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row14_col20 {\n",
       "  background-color: #096f3a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row14_col22 {\n",
       "  background-color: #006435;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row14_col23 {\n",
       "  background-color: #4cb063;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row14_col26 {\n",
       "  background-color: #167a3f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row15_col17, #T_6c430_row22_col14 {\n",
       "  background-color: #bae394;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row15_col19, #T_6c430_row17_col9, #T_6c430_row19_col12, #T_6c430_row20_col0, #T_6c430_row20_col11 {\n",
       "  background-color: #92d183;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row15_col21, #T_6c430_row18_col11 {\n",
       "  background-color: #72c376;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row15_col25, #T_6c430_row17_col14 {\n",
       "  background-color: #8bce81;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row15_col26, #T_6c430_row19_col3 {\n",
       "  background-color: #97d385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row16_col2, #T_6c430_row17_col16, #T_6c430_row18_col22, #T_6c430_row18_col24 {\n",
       "  background-color: #f9fdc2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row16_col8 {\n",
       "  background-color: #ffffe4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row16_col9 {\n",
       "  background-color: #feffe1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row16_col14 {\n",
       "  background-color: #feffde;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row16_col17, #T_6c430_row16_col22, #T_6c430_row22_col11 {\n",
       "  background-color: #f1fab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row17_col1 {\n",
       "  background-color: #53b466;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row17_col4 {\n",
       "  background-color: #9fd788;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row17_col12, #T_6c430_row21_col5 {\n",
       "  background-color: #1f8142;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row19_col2, #T_6c430_row20_col4 {\n",
       "  background-color: #90d083;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row20_col5 {\n",
       "  background-color: #5db96b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col3 {\n",
       "  background-color: #349a52;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col4 {\n",
       "  background-color: #47ae60;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col6 {\n",
       "  background-color: #3ea75a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col7 {\n",
       "  background-color: #51b365;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col9 {\n",
       "  background-color: #61bb6d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col11 {\n",
       "  background-color: #056c39;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col12 {\n",
       "  background-color: #258745;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col14 {\n",
       "  background-color: #4fb264;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col15 {\n",
       "  background-color: #40aa5c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col16 {\n",
       "  background-color: #187b3f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col19 {\n",
       "  background-color: #066d39;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col20, #T_6c430_row23_col24 {\n",
       "  background-color: #004d2c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col21 {\n",
       "  background-color: #3ba358;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col22 {\n",
       "  background-color: #1c7e40;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col25 {\n",
       "  background-color: #016937;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row21_col26 {\n",
       "  background-color: #00522e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row22_col6 {\n",
       "  background-color: #bce395;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6c430_row23_col17 {\n",
       "  background-color: #006837;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row23_col18 {\n",
       "  background-color: #004f2d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row23_col20 {\n",
       "  background-color: #1e8041;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row23_col23 {\n",
       "  background-color: #006737;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6c430_row23_col26 {\n",
       "  background-color: #268846;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_6c430\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_6c430_level0_col0\" class=\"col_heading level0 col0\" >vol</th>\n",
       "      <th id=\"T_6c430_level0_col1\" class=\"col_heading level0 col1\" >MV</th>\n",
       "      <th id=\"T_6c430_level0_col2\" class=\"col_heading level0 col2\" >MAD</th>\n",
       "      <th id=\"T_6c430_level0_col3\" class=\"col_heading level0 col3\" >GMD</th>\n",
       "      <th id=\"T_6c430_level0_col4\" class=\"col_heading level0 col4\" >MSV</th>\n",
       "      <th id=\"T_6c430_level0_col5\" class=\"col_heading level0 col5\" >FLPM</th>\n",
       "      <th id=\"T_6c430_level0_col6\" class=\"col_heading level0 col6\" >SLPM</th>\n",
       "      <th id=\"T_6c430_level0_col7\" class=\"col_heading level0 col7\" >VaR</th>\n",
       "      <th id=\"T_6c430_level0_col8\" class=\"col_heading level0 col8\" >CVaR</th>\n",
       "      <th id=\"T_6c430_level0_col9\" class=\"col_heading level0 col9\" >TG</th>\n",
       "      <th id=\"T_6c430_level0_col10\" class=\"col_heading level0 col10\" >EVaR</th>\n",
       "      <th id=\"T_6c430_level0_col11\" class=\"col_heading level0 col11\" >WR</th>\n",
       "      <th id=\"T_6c430_level0_col12\" class=\"col_heading level0 col12\" >RG</th>\n",
       "      <th id=\"T_6c430_level0_col13\" class=\"col_heading level0 col13\" >CVRG</th>\n",
       "      <th id=\"T_6c430_level0_col14\" class=\"col_heading level0 col14\" >TGRG</th>\n",
       "      <th id=\"T_6c430_level0_col15\" class=\"col_heading level0 col15\" >MDD</th>\n",
       "      <th id=\"T_6c430_level0_col16\" class=\"col_heading level0 col16\" >ADD</th>\n",
       "      <th id=\"T_6c430_level0_col17\" class=\"col_heading level0 col17\" >DaR</th>\n",
       "      <th id=\"T_6c430_level0_col18\" class=\"col_heading level0 col18\" >CDaR</th>\n",
       "      <th id=\"T_6c430_level0_col19\" class=\"col_heading level0 col19\" >EDaR</th>\n",
       "      <th id=\"T_6c430_level0_col20\" class=\"col_heading level0 col20\" >UCI</th>\n",
       "      <th id=\"T_6c430_level0_col21\" class=\"col_heading level0 col21\" >MDD_Rel</th>\n",
       "      <th id=\"T_6c430_level0_col22\" class=\"col_heading level0 col22\" >ADD_Rel</th>\n",
       "      <th id=\"T_6c430_level0_col23\" class=\"col_heading level0 col23\" >DaR_Rel</th>\n",
       "      <th id=\"T_6c430_level0_col24\" class=\"col_heading level0 col24\" >CDaR_Rel</th>\n",
       "      <th id=\"T_6c430_level0_col25\" class=\"col_heading level0 col25\" >EDaR_Rel</th>\n",
       "      <th id=\"T_6c430_level0_col26\" class=\"col_heading level0 col26\" >UCI_Rel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "      <td id=\"T_6c430_row0_col0\" class=\"data row0 col0\" >2.18%</td>\n",
       "      <td id=\"T_6c430_row0_col1\" class=\"data row0 col1\" >1.45%</td>\n",
       "      <td id=\"T_6c430_row0_col2\" class=\"data row0 col2\" >2.04%</td>\n",
       "      <td id=\"T_6c430_row0_col3\" class=\"data row0 col3\" >2.09%</td>\n",
       "      <td id=\"T_6c430_row0_col4\" class=\"data row0 col4\" >2.37%</td>\n",
       "      <td id=\"T_6c430_row0_col5\" class=\"data row0 col5\" >1.89%</td>\n",
       "      <td id=\"T_6c430_row0_col6\" class=\"data row0 col6\" >2.29%</td>\n",
       "      <td id=\"T_6c430_row0_col7\" class=\"data row0 col7\" >2.22%</td>\n",
       "      <td id=\"T_6c430_row0_col8\" class=\"data row0 col8\" >2.57%</td>\n",
       "      <td id=\"T_6c430_row0_col9\" class=\"data row0 col9\" >2.66%</td>\n",
       "      <td id=\"T_6c430_row0_col10\" class=\"data row0 col10\" >2.76%</td>\n",
       "      <td id=\"T_6c430_row0_col11\" class=\"data row0 col11\" >2.96%</td>\n",
       "      <td id=\"T_6c430_row0_col12\" class=\"data row0 col12\" >2.47%</td>\n",
       "      <td id=\"T_6c430_row0_col13\" class=\"data row0 col13\" >2.27%</td>\n",
       "      <td id=\"T_6c430_row0_col14\" class=\"data row0 col14\" >2.32%</td>\n",
       "      <td id=\"T_6c430_row0_col15\" class=\"data row0 col15\" >1.58%</td>\n",
       "      <td id=\"T_6c430_row0_col16\" class=\"data row0 col16\" >0.73%</td>\n",
       "      <td id=\"T_6c430_row0_col17\" class=\"data row0 col17\" >0.98%</td>\n",
       "      <td id=\"T_6c430_row0_col18\" class=\"data row0 col18\" >1.24%</td>\n",
       "      <td id=\"T_6c430_row0_col19\" class=\"data row0 col19\" >1.39%</td>\n",
       "      <td id=\"T_6c430_row0_col20\" class=\"data row0 col20\" >0.91%</td>\n",
       "      <td id=\"T_6c430_row0_col21\" class=\"data row0 col21\" >1.84%</td>\n",
       "      <td id=\"T_6c430_row0_col22\" class=\"data row0 col22\" >0.82%</td>\n",
       "      <td id=\"T_6c430_row0_col23\" class=\"data row0 col23\" >1.19%</td>\n",
       "      <td id=\"T_6c430_row0_col24\" class=\"data row0 col24\" >1.48%</td>\n",
       "      <td id=\"T_6c430_row0_col25\" class=\"data row0 col25\" >1.63%</td>\n",
       "      <td id=\"T_6c430_row0_col26\" class=\"data row0 col26\" >1.03%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "      <td id=\"T_6c430_row1_col0\" class=\"data row1 col0\" >2.79%</td>\n",
       "      <td id=\"T_6c430_row1_col1\" class=\"data row1 col1\" >2.32%</td>\n",
       "      <td id=\"T_6c430_row1_col2\" class=\"data row1 col2\" >2.74%</td>\n",
       "      <td id=\"T_6c430_row1_col3\" class=\"data row1 col3\" >2.74%</td>\n",
       "      <td id=\"T_6c430_row1_col4\" class=\"data row1 col4\" >2.74%</td>\n",
       "      <td id=\"T_6c430_row1_col5\" class=\"data row1 col5\" >2.86%</td>\n",
       "      <td id=\"T_6c430_row1_col6\" class=\"data row1 col6\" >2.80%</td>\n",
       "      <td id=\"T_6c430_row1_col7\" class=\"data row1 col7\" >2.67%</td>\n",
       "      <td id=\"T_6c430_row1_col8\" class=\"data row1 col8\" >2.76%</td>\n",
       "      <td id=\"T_6c430_row1_col9\" class=\"data row1 col9\" >2.81%</td>\n",
       "      <td id=\"T_6c430_row1_col10\" class=\"data row1 col10\" >3.36%</td>\n",
       "      <td id=\"T_6c430_row1_col11\" class=\"data row1 col11\" >3.95%</td>\n",
       "      <td id=\"T_6c430_row1_col12\" class=\"data row1 col12\" >3.71%</td>\n",
       "      <td id=\"T_6c430_row1_col13\" class=\"data row1 col13\" >2.74%</td>\n",
       "      <td id=\"T_6c430_row1_col14\" class=\"data row1 col14\" >2.80%</td>\n",
       "      <td id=\"T_6c430_row1_col15\" class=\"data row1 col15\" >2.98%</td>\n",
       "      <td id=\"T_6c430_row1_col16\" class=\"data row1 col16\" >3.82%</td>\n",
       "      <td id=\"T_6c430_row1_col17\" class=\"data row1 col17\" >3.44%</td>\n",
       "      <td id=\"T_6c430_row1_col18\" class=\"data row1 col18\" >3.14%</td>\n",
       "      <td id=\"T_6c430_row1_col19\" class=\"data row1 col19\" >3.15%</td>\n",
       "      <td id=\"T_6c430_row1_col20\" class=\"data row1 col20\" >3.63%</td>\n",
       "      <td id=\"T_6c430_row1_col21\" class=\"data row1 col21\" >3.12%</td>\n",
       "      <td id=\"T_6c430_row1_col22\" class=\"data row1 col22\" >3.90%</td>\n",
       "      <td id=\"T_6c430_row1_col23\" class=\"data row1 col23\" >3.60%</td>\n",
       "      <td id=\"T_6c430_row1_col24\" class=\"data row1 col24\" >3.26%</td>\n",
       "      <td id=\"T_6c430_row1_col25\" class=\"data row1 col25\" >3.25%</td>\n",
       "      <td id=\"T_6c430_row1_col26\" class=\"data row1 col26\" >3.75%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "      <td id=\"T_6c430_row2_col0\" class=\"data row2 col0\" >3.75%</td>\n",
       "      <td id=\"T_6c430_row2_col1\" class=\"data row2 col1\" >4.39%</td>\n",
       "      <td id=\"T_6c430_row2_col2\" class=\"data row2 col2\" >3.80%</td>\n",
       "      <td id=\"T_6c430_row2_col3\" class=\"data row2 col3\" >3.77%</td>\n",
       "      <td id=\"T_6c430_row2_col4\" class=\"data row2 col4\" >3.61%</td>\n",
       "      <td id=\"T_6c430_row2_col5\" class=\"data row2 col5\" >4.01%</td>\n",
       "      <td id=\"T_6c430_row2_col6\" class=\"data row2 col6\" >3.70%</td>\n",
       "      <td id=\"T_6c430_row2_col7\" class=\"data row2 col7\" >3.71%</td>\n",
       "      <td id=\"T_6c430_row2_col8\" class=\"data row2 col8\" >3.58%</td>\n",
       "      <td id=\"T_6c430_row2_col9\" class=\"data row2 col9\" >3.49%</td>\n",
       "      <td id=\"T_6c430_row2_col10\" class=\"data row2 col10\" >3.73%</td>\n",
       "      <td id=\"T_6c430_row2_col11\" class=\"data row2 col11\" >4.15%</td>\n",
       "      <td id=\"T_6c430_row2_col12\" class=\"data row2 col12\" >4.13%</td>\n",
       "      <td id=\"T_6c430_row2_col13\" class=\"data row2 col13\" >3.70%</td>\n",
       "      <td id=\"T_6c430_row2_col14\" class=\"data row2 col14\" >3.72%</td>\n",
       "      <td id=\"T_6c430_row2_col15\" class=\"data row2 col15\" >3.91%</td>\n",
       "      <td id=\"T_6c430_row2_col16\" class=\"data row2 col16\" >5.94%</td>\n",
       "      <td id=\"T_6c430_row2_col17\" class=\"data row2 col17\" >5.22%</td>\n",
       "      <td id=\"T_6c430_row2_col18\" class=\"data row2 col18\" >4.99%</td>\n",
       "      <td id=\"T_6c430_row2_col19\" class=\"data row2 col19\" >4.59%</td>\n",
       "      <td id=\"T_6c430_row2_col20\" class=\"data row2 col20\" >5.63%</td>\n",
       "      <td id=\"T_6c430_row2_col21\" class=\"data row2 col21\" >3.89%</td>\n",
       "      <td id=\"T_6c430_row2_col22\" class=\"data row2 col22\" >5.91%</td>\n",
       "      <td id=\"T_6c430_row2_col23\" class=\"data row2 col23\" >5.10%</td>\n",
       "      <td id=\"T_6c430_row2_col24\" class=\"data row2 col24\" >4.92%</td>\n",
       "      <td id=\"T_6c430_row2_col25\" class=\"data row2 col25\" >4.55%</td>\n",
       "      <td id=\"T_6c430_row2_col26\" class=\"data row2 col26\" >5.62%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "      <td id=\"T_6c430_row3_col0\" class=\"data row3 col0\" >3.34%</td>\n",
       "      <td id=\"T_6c430_row3_col1\" class=\"data row3 col1\" >3.24%</td>\n",
       "      <td id=\"T_6c430_row3_col2\" class=\"data row3 col2\" >3.32%</td>\n",
       "      <td id=\"T_6c430_row3_col3\" class=\"data row3 col3\" >3.33%</td>\n",
       "      <td id=\"T_6c430_row3_col4\" class=\"data row3 col4\" >3.02%</td>\n",
       "      <td id=\"T_6c430_row3_col5\" class=\"data row3 col5\" >3.13%</td>\n",
       "      <td id=\"T_6c430_row3_col6\" class=\"data row3 col6\" >2.94%</td>\n",
       "      <td id=\"T_6c430_row3_col7\" class=\"data row3 col7\" >3.17%</td>\n",
       "      <td id=\"T_6c430_row3_col8\" class=\"data row3 col8\" >2.94%</td>\n",
       "      <td id=\"T_6c430_row3_col9\" class=\"data row3 col9\" >2.91%</td>\n",
       "      <td id=\"T_6c430_row3_col10\" class=\"data row3 col10\" >2.91%</td>\n",
       "      <td id=\"T_6c430_row3_col11\" class=\"data row3 col11\" >2.77%</td>\n",
       "      <td id=\"T_6c430_row3_col12\" class=\"data row3 col12\" >3.60%</td>\n",
       "      <td id=\"T_6c430_row3_col13\" class=\"data row3 col13\" >3.32%</td>\n",
       "      <td id=\"T_6c430_row3_col14\" class=\"data row3 col14\" >3.34%</td>\n",
       "      <td id=\"T_6c430_row3_col15\" class=\"data row3 col15\" >2.51%</td>\n",
       "      <td id=\"T_6c430_row3_col16\" class=\"data row3 col16\" >1.18%</td>\n",
       "      <td id=\"T_6c430_row3_col17\" class=\"data row3 col17\" >2.08%</td>\n",
       "      <td id=\"T_6c430_row3_col18\" class=\"data row3 col18\" >2.11%</td>\n",
       "      <td id=\"T_6c430_row3_col19\" class=\"data row3 col19\" >2.23%</td>\n",
       "      <td id=\"T_6c430_row3_col20\" class=\"data row3 col20\" >1.46%</td>\n",
       "      <td id=\"T_6c430_row3_col21\" class=\"data row3 col21\" >2.53%</td>\n",
       "      <td id=\"T_6c430_row3_col22\" class=\"data row3 col22\" >1.19%</td>\n",
       "      <td id=\"T_6c430_row3_col23\" class=\"data row3 col23\" >2.08%</td>\n",
       "      <td id=\"T_6c430_row3_col24\" class=\"data row3 col24\" >2.11%</td>\n",
       "      <td id=\"T_6c430_row3_col25\" class=\"data row3 col25\" >2.22%</td>\n",
       "      <td id=\"T_6c430_row3_col26\" class=\"data row3 col26\" >1.46%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "      <td id=\"T_6c430_row4_col0\" class=\"data row4 col0\" >3.82%</td>\n",
       "      <td id=\"T_6c430_row4_col1\" class=\"data row4 col1\" >4.42%</td>\n",
       "      <td id=\"T_6c430_row4_col2\" class=\"data row4 col2\" >3.75%</td>\n",
       "      <td id=\"T_6c430_row4_col3\" class=\"data row4 col3\" >3.78%</td>\n",
       "      <td id=\"T_6c430_row4_col4\" class=\"data row4 col4\" >3.77%</td>\n",
       "      <td id=\"T_6c430_row4_col5\" class=\"data row4 col5\" >3.83%</td>\n",
       "      <td id=\"T_6c430_row4_col6\" class=\"data row4 col6\" >3.80%</td>\n",
       "      <td id=\"T_6c430_row4_col7\" class=\"data row4 col7\" >3.63%</td>\n",
       "      <td id=\"T_6c430_row4_col8\" class=\"data row4 col8\" >3.76%</td>\n",
       "      <td id=\"T_6c430_row4_col9\" class=\"data row4 col9\" >3.69%</td>\n",
       "      <td id=\"T_6c430_row4_col10\" class=\"data row4 col10\" >3.56%</td>\n",
       "      <td id=\"T_6c430_row4_col11\" class=\"data row4 col11\" >3.47%</td>\n",
       "      <td id=\"T_6c430_row4_col12\" class=\"data row4 col12\" >4.25%</td>\n",
       "      <td id=\"T_6c430_row4_col13\" class=\"data row4 col13\" >3.82%</td>\n",
       "      <td id=\"T_6c430_row4_col14\" class=\"data row4 col14\" >3.82%</td>\n",
       "      <td id=\"T_6c430_row4_col15\" class=\"data row4 col15\" >3.18%</td>\n",
       "      <td id=\"T_6c430_row4_col16\" class=\"data row4 col16\" >3.25%</td>\n",
       "      <td id=\"T_6c430_row4_col17\" class=\"data row4 col17\" >2.37%</td>\n",
       "      <td id=\"T_6c430_row4_col18\" class=\"data row4 col18\" >2.67%</td>\n",
       "      <td id=\"T_6c430_row4_col19\" class=\"data row4 col19\" >2.98%</td>\n",
       "      <td id=\"T_6c430_row4_col20\" class=\"data row4 col20\" >2.90%</td>\n",
       "      <td id=\"T_6c430_row4_col21\" class=\"data row4 col21\" >3.31%</td>\n",
       "      <td id=\"T_6c430_row4_col22\" class=\"data row4 col22\" >3.41%</td>\n",
       "      <td id=\"T_6c430_row4_col23\" class=\"data row4 col23\" >2.60%</td>\n",
       "      <td id=\"T_6c430_row4_col24\" class=\"data row4 col24\" >2.91%</td>\n",
       "      <td id=\"T_6c430_row4_col25\" class=\"data row4 col25\" >3.17%</td>\n",
       "      <td id=\"T_6c430_row4_col26\" class=\"data row4 col26\" >3.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "      <td id=\"T_6c430_row5_col0\" class=\"data row5 col0\" >4.23%</td>\n",
       "      <td id=\"T_6c430_row5_col1\" class=\"data row5 col1\" >5.24%</td>\n",
       "      <td id=\"T_6c430_row5_col2\" class=\"data row5 col2\" >3.91%</td>\n",
       "      <td id=\"T_6c430_row5_col3\" class=\"data row5 col3\" >4.01%</td>\n",
       "      <td id=\"T_6c430_row5_col4\" class=\"data row5 col4\" >4.25%</td>\n",
       "      <td id=\"T_6c430_row5_col5\" class=\"data row5 col5\" >3.94%</td>\n",
       "      <td id=\"T_6c430_row5_col6\" class=\"data row5 col6\" >4.31%</td>\n",
       "      <td id=\"T_6c430_row5_col7\" class=\"data row5 col7\" >3.84%</td>\n",
       "      <td id=\"T_6c430_row5_col8\" class=\"data row5 col8\" >4.41%</td>\n",
       "      <td id=\"T_6c430_row5_col9\" class=\"data row5 col9\" >4.56%</td>\n",
       "      <td id=\"T_6c430_row5_col10\" class=\"data row5 col10\" >5.51%</td>\n",
       "      <td id=\"T_6c430_row5_col11\" class=\"data row5 col11\" >5.74%</td>\n",
       "      <td id=\"T_6c430_row5_col12\" class=\"data row5 col12\" >6.91%</td>\n",
       "      <td id=\"T_6c430_row5_col13\" class=\"data row5 col13\" >4.37%</td>\n",
       "      <td id=\"T_6c430_row5_col14\" class=\"data row5 col14\" >4.55%</td>\n",
       "      <td id=\"T_6c430_row5_col15\" class=\"data row5 col15\" >6.13%</td>\n",
       "      <td id=\"T_6c430_row5_col16\" class=\"data row5 col16\" >6.04%</td>\n",
       "      <td id=\"T_6c430_row5_col17\" class=\"data row5 col17\" >5.19%</td>\n",
       "      <td id=\"T_6c430_row5_col18\" class=\"data row5 col18\" >5.21%</td>\n",
       "      <td id=\"T_6c430_row5_col19\" class=\"data row5 col19\" >5.50%</td>\n",
       "      <td id=\"T_6c430_row5_col20\" class=\"data row5 col20\" >6.09%</td>\n",
       "      <td id=\"T_6c430_row5_col21\" class=\"data row5 col21\" >6.15%</td>\n",
       "      <td id=\"T_6c430_row5_col22\" class=\"data row5 col22\" >6.06%</td>\n",
       "      <td id=\"T_6c430_row5_col23\" class=\"data row5 col23\" >5.14%</td>\n",
       "      <td id=\"T_6c430_row5_col24\" class=\"data row5 col24\" >5.34%</td>\n",
       "      <td id=\"T_6c430_row5_col25\" class=\"data row5 col25\" >5.56%</td>\n",
       "      <td id=\"T_6c430_row5_col26\" class=\"data row5 col26\" >6.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "      <td id=\"T_6c430_row6_col0\" class=\"data row6 col0\" >3.38%</td>\n",
       "      <td id=\"T_6c430_row6_col1\" class=\"data row6 col1\" >3.38%</td>\n",
       "      <td id=\"T_6c430_row6_col2\" class=\"data row6 col2\" >3.44%</td>\n",
       "      <td id=\"T_6c430_row6_col3\" class=\"data row6 col3\" >3.46%</td>\n",
       "      <td id=\"T_6c430_row6_col4\" class=\"data row6 col4\" >3.56%</td>\n",
       "      <td id=\"T_6c430_row6_col5\" class=\"data row6 col5\" >3.28%</td>\n",
       "      <td id=\"T_6c430_row6_col6\" class=\"data row6 col6\" >3.49%</td>\n",
       "      <td id=\"T_6c430_row6_col7\" class=\"data row6 col7\" >3.78%</td>\n",
       "      <td id=\"T_6c430_row6_col8\" class=\"data row6 col8\" >3.73%</td>\n",
       "      <td id=\"T_6c430_row6_col9\" class=\"data row6 col9\" >3.59%</td>\n",
       "      <td id=\"T_6c430_row6_col10\" class=\"data row6 col10\" >2.89%</td>\n",
       "      <td id=\"T_6c430_row6_col11\" class=\"data row6 col11\" >2.57%</td>\n",
       "      <td id=\"T_6c430_row6_col12\" class=\"data row6 col12\" >2.52%</td>\n",
       "      <td id=\"T_6c430_row6_col13\" class=\"data row6 col13\" >3.45%</td>\n",
       "      <td id=\"T_6c430_row6_col14\" class=\"data row6 col14\" >3.32%</td>\n",
       "      <td id=\"T_6c430_row6_col15\" class=\"data row6 col15\" >2.37%</td>\n",
       "      <td id=\"T_6c430_row6_col16\" class=\"data row6 col16\" >1.03%</td>\n",
       "      <td id=\"T_6c430_row6_col17\" class=\"data row6 col17\" >1.39%</td>\n",
       "      <td id=\"T_6c430_row6_col18\" class=\"data row6 col18\" >1.67%</td>\n",
       "      <td id=\"T_6c430_row6_col19\" class=\"data row6 col19\" >1.91%</td>\n",
       "      <td id=\"T_6c430_row6_col20\" class=\"data row6 col20\" >1.27%</td>\n",
       "      <td id=\"T_6c430_row6_col21\" class=\"data row6 col21\" >2.49%</td>\n",
       "      <td id=\"T_6c430_row6_col22\" class=\"data row6 col22\" >1.08%</td>\n",
       "      <td id=\"T_6c430_row6_col23\" class=\"data row6 col23\" >1.51%</td>\n",
       "      <td id=\"T_6c430_row6_col24\" class=\"data row6 col24\" >1.84%</td>\n",
       "      <td id=\"T_6c430_row6_col25\" class=\"data row6 col25\" >2.06%</td>\n",
       "      <td id=\"T_6c430_row6_col26\" class=\"data row6 col26\" >1.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "      <td id=\"T_6c430_row7_col0\" class=\"data row7 col0\" >2.79%</td>\n",
       "      <td id=\"T_6c430_row7_col1\" class=\"data row7 col1\" >2.32%</td>\n",
       "      <td id=\"T_6c430_row7_col2\" class=\"data row7 col2\" >2.83%</td>\n",
       "      <td id=\"T_6c430_row7_col3\" class=\"data row7 col3\" >2.80%</td>\n",
       "      <td id=\"T_6c430_row7_col4\" class=\"data row7 col4\" >2.83%</td>\n",
       "      <td id=\"T_6c430_row7_col5\" class=\"data row7 col5\" >2.95%</td>\n",
       "      <td id=\"T_6c430_row7_col6\" class=\"data row7 col6\" >2.89%</td>\n",
       "      <td id=\"T_6c430_row7_col7\" class=\"data row7 col7\" >2.66%</td>\n",
       "      <td id=\"T_6c430_row7_col8\" class=\"data row7 col8\" >2.83%</td>\n",
       "      <td id=\"T_6c430_row7_col9\" class=\"data row7 col9\" >2.94%</td>\n",
       "      <td id=\"T_6c430_row7_col10\" class=\"data row7 col10\" >3.73%</td>\n",
       "      <td id=\"T_6c430_row7_col11\" class=\"data row7 col11\" >4.60%</td>\n",
       "      <td id=\"T_6c430_row7_col12\" class=\"data row7 col12\" >3.30%</td>\n",
       "      <td id=\"T_6c430_row7_col13\" class=\"data row7 col13\" >2.80%</td>\n",
       "      <td id=\"T_6c430_row7_col14\" class=\"data row7 col14\" >2.82%</td>\n",
       "      <td id=\"T_6c430_row7_col15\" class=\"data row7 col15\" >3.81%</td>\n",
       "      <td id=\"T_6c430_row7_col16\" class=\"data row7 col16\" >5.02%</td>\n",
       "      <td id=\"T_6c430_row7_col17\" class=\"data row7 col17\" >4.39%</td>\n",
       "      <td id=\"T_6c430_row7_col18\" class=\"data row7 col18\" >3.91%</td>\n",
       "      <td id=\"T_6c430_row7_col19\" class=\"data row7 col19\" >3.90%</td>\n",
       "      <td id=\"T_6c430_row7_col20\" class=\"data row7 col20\" >4.77%</td>\n",
       "      <td id=\"T_6c430_row7_col21\" class=\"data row7 col21\" >3.61%</td>\n",
       "      <td id=\"T_6c430_row7_col22\" class=\"data row7 col22\" >4.88%</td>\n",
       "      <td id=\"T_6c430_row7_col23\" class=\"data row7 col23\" >4.28%</td>\n",
       "      <td id=\"T_6c430_row7_col24\" class=\"data row7 col24\" >3.88%</td>\n",
       "      <td id=\"T_6c430_row7_col25\" class=\"data row7 col25\" >3.85%</td>\n",
       "      <td id=\"T_6c430_row7_col26\" class=\"data row7 col26\" >4.66%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "      <td id=\"T_6c430_row8_col0\" class=\"data row8 col0\" >2.64%</td>\n",
       "      <td id=\"T_6c430_row8_col1\" class=\"data row8 col1\" >2.17%</td>\n",
       "      <td id=\"T_6c430_row8_col2\" class=\"data row8 col2\" >2.77%</td>\n",
       "      <td id=\"T_6c430_row8_col3\" class=\"data row8 col3\" >2.70%</td>\n",
       "      <td id=\"T_6c430_row8_col4\" class=\"data row8 col4\" >2.56%</td>\n",
       "      <td id=\"T_6c430_row8_col5\" class=\"data row8 col5\" >2.83%</td>\n",
       "      <td id=\"T_6c430_row8_col6\" class=\"data row8 col6\" >2.59%</td>\n",
       "      <td id=\"T_6c430_row8_col7\" class=\"data row8 col7\" >2.54%</td>\n",
       "      <td id=\"T_6c430_row8_col8\" class=\"data row8 col8\" >2.48%</td>\n",
       "      <td id=\"T_6c430_row8_col9\" class=\"data row8 col9\" >2.45%</td>\n",
       "      <td id=\"T_6c430_row8_col10\" class=\"data row8 col10\" >2.31%</td>\n",
       "      <td id=\"T_6c430_row8_col11\" class=\"data row8 col11\" >2.42%</td>\n",
       "      <td id=\"T_6c430_row8_col12\" class=\"data row8 col12\" >2.44%</td>\n",
       "      <td id=\"T_6c430_row8_col13\" class=\"data row8 col13\" >2.55%</td>\n",
       "      <td id=\"T_6c430_row8_col14\" class=\"data row8 col14\" >2.57%</td>\n",
       "      <td id=\"T_6c430_row8_col15\" class=\"data row8 col15\" >2.18%</td>\n",
       "      <td id=\"T_6c430_row8_col16\" class=\"data row8 col16\" >2.59%</td>\n",
       "      <td id=\"T_6c430_row8_col17\" class=\"data row8 col17\" >2.59%</td>\n",
       "      <td id=\"T_6c430_row8_col18\" class=\"data row8 col18\" >2.67%</td>\n",
       "      <td id=\"T_6c430_row8_col19\" class=\"data row8 col19\" >2.50%</td>\n",
       "      <td id=\"T_6c430_row8_col20\" class=\"data row8 col20\" >2.56%</td>\n",
       "      <td id=\"T_6c430_row8_col21\" class=\"data row8 col21\" >2.18%</td>\n",
       "      <td id=\"T_6c430_row8_col22\" class=\"data row8 col22\" >2.55%</td>\n",
       "      <td id=\"T_6c430_row8_col23\" class=\"data row8 col23\" >2.51%</td>\n",
       "      <td id=\"T_6c430_row8_col24\" class=\"data row8 col24\" >2.60%</td>\n",
       "      <td id=\"T_6c430_row8_col25\" class=\"data row8 col25\" >2.45%</td>\n",
       "      <td id=\"T_6c430_row8_col26\" class=\"data row8 col26\" >2.49%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "      <td id=\"T_6c430_row9_col0\" class=\"data row9 col0\" >5.99%</td>\n",
       "      <td id=\"T_6c430_row9_col1\" class=\"data row9 col1\" >5.43%</td>\n",
       "      <td id=\"T_6c430_row9_col2\" class=\"data row9 col2\" >5.98%</td>\n",
       "      <td id=\"T_6c430_row9_col3\" class=\"data row9 col3\" >6.03%</td>\n",
       "      <td id=\"T_6c430_row9_col4\" class=\"data row9 col4\" >6.15%</td>\n",
       "      <td id=\"T_6c430_row9_col5\" class=\"data row9 col5\" >5.96%</td>\n",
       "      <td id=\"T_6c430_row9_col6\" class=\"data row9 col6\" >6.15%</td>\n",
       "      <td id=\"T_6c430_row9_col7\" class=\"data row9 col7\" >5.84%</td>\n",
       "      <td id=\"T_6c430_row9_col8\" class=\"data row9 col8\" >6.25%</td>\n",
       "      <td id=\"T_6c430_row9_col9\" class=\"data row9 col9\" >6.24%</td>\n",
       "      <td id=\"T_6c430_row9_col10\" class=\"data row9 col10\" >5.84%</td>\n",
       "      <td id=\"T_6c430_row9_col11\" class=\"data row9 col11\" >5.52%</td>\n",
       "      <td id=\"T_6c430_row9_col12\" class=\"data row9 col12\" >4.55%</td>\n",
       "      <td id=\"T_6c430_row9_col13\" class=\"data row9 col13\" >6.09%</td>\n",
       "      <td id=\"T_6c430_row9_col14\" class=\"data row9 col14\" >5.99%</td>\n",
       "      <td id=\"T_6c430_row9_col15\" class=\"data row9 col15\" >4.53%</td>\n",
       "      <td id=\"T_6c430_row9_col16\" class=\"data row9 col16\" >3.70%</td>\n",
       "      <td id=\"T_6c430_row9_col17\" class=\"data row9 col17\" >4.26%</td>\n",
       "      <td id=\"T_6c430_row9_col18\" class=\"data row9 col18\" >4.83%</td>\n",
       "      <td id=\"T_6c430_row9_col19\" class=\"data row9 col19\" >4.87%</td>\n",
       "      <td id=\"T_6c430_row9_col20\" class=\"data row9 col20\" >4.06%</td>\n",
       "      <td id=\"T_6c430_row9_col21\" class=\"data row9 col21\" >4.44%</td>\n",
       "      <td id=\"T_6c430_row9_col22\" class=\"data row9 col22\" >3.48%</td>\n",
       "      <td id=\"T_6c430_row9_col23\" class=\"data row9 col23\" >4.09%</td>\n",
       "      <td id=\"T_6c430_row9_col24\" class=\"data row9 col24\" >4.59%</td>\n",
       "      <td id=\"T_6c430_row9_col25\" class=\"data row9 col25\" >4.67%</td>\n",
       "      <td id=\"T_6c430_row9_col26\" class=\"data row9 col26\" >3.82%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "      <td id=\"T_6c430_row10_col0\" class=\"data row10 col0\" >2.85%</td>\n",
       "      <td id=\"T_6c430_row10_col1\" class=\"data row10 col1\" >2.45%</td>\n",
       "      <td id=\"T_6c430_row10_col2\" class=\"data row10 col2\" >3.06%</td>\n",
       "      <td id=\"T_6c430_row10_col3\" class=\"data row10 col3\" >2.96%</td>\n",
       "      <td id=\"T_6c430_row10_col4\" class=\"data row10 col4\" >2.98%</td>\n",
       "      <td id=\"T_6c430_row10_col5\" class=\"data row10 col5\" >3.21%</td>\n",
       "      <td id=\"T_6c430_row10_col6\" class=\"data row10 col6\" >3.03%</td>\n",
       "      <td id=\"T_6c430_row10_col7\" class=\"data row10 col7\" >3.07%</td>\n",
       "      <td id=\"T_6c430_row10_col8\" class=\"data row10 col8\" >2.91%</td>\n",
       "      <td id=\"T_6c430_row10_col9\" class=\"data row10 col9\" >2.91%</td>\n",
       "      <td id=\"T_6c430_row10_col10\" class=\"data row10 col10\" >2.46%</td>\n",
       "      <td id=\"T_6c430_row10_col11\" class=\"data row10 col11\" >1.97%</td>\n",
       "      <td id=\"T_6c430_row10_col12\" class=\"data row10 col12\" >2.00%</td>\n",
       "      <td id=\"T_6c430_row10_col13\" class=\"data row10 col13\" >2.71%</td>\n",
       "      <td id=\"T_6c430_row10_col14\" class=\"data row10 col14\" >2.68%</td>\n",
       "      <td id=\"T_6c430_row10_col15\" class=\"data row10 col15\" >3.02%</td>\n",
       "      <td id=\"T_6c430_row10_col16\" class=\"data row10 col16\" >4.21%</td>\n",
       "      <td id=\"T_6c430_row10_col17\" class=\"data row10 col17\" >4.25%</td>\n",
       "      <td id=\"T_6c430_row10_col18\" class=\"data row10 col18\" >3.54%</td>\n",
       "      <td id=\"T_6c430_row10_col19\" class=\"data row10 col19\" >3.31%</td>\n",
       "      <td id=\"T_6c430_row10_col20\" class=\"data row10 col20\" >4.07%</td>\n",
       "      <td id=\"T_6c430_row10_col21\" class=\"data row10 col21\" >3.04%</td>\n",
       "      <td id=\"T_6c430_row10_col22\" class=\"data row10 col22\" >4.28%</td>\n",
       "      <td id=\"T_6c430_row10_col23\" class=\"data row10 col23\" >4.30%</td>\n",
       "      <td id=\"T_6c430_row10_col24\" class=\"data row10 col24\" >3.59%</td>\n",
       "      <td id=\"T_6c430_row10_col25\" class=\"data row10 col25\" >3.36%</td>\n",
       "      <td id=\"T_6c430_row10_col26\" class=\"data row10 col26\" >4.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "      <td id=\"T_6c430_row11_col0\" class=\"data row11 col0\" >4.64%</td>\n",
       "      <td id=\"T_6c430_row11_col1\" class=\"data row11 col1\" >3.21%</td>\n",
       "      <td id=\"T_6c430_row11_col2\" class=\"data row11 col2\" >4.71%</td>\n",
       "      <td id=\"T_6c430_row11_col3\" class=\"data row11 col3\" >4.69%</td>\n",
       "      <td id=\"T_6c430_row11_col4\" class=\"data row11 col4\" >4.60%</td>\n",
       "      <td id=\"T_6c430_row11_col5\" class=\"data row11 col5\" >4.57%</td>\n",
       "      <td id=\"T_6c430_row11_col6\" class=\"data row11 col6\" >4.54%</td>\n",
       "      <td id=\"T_6c430_row11_col7\" class=\"data row11 col7\" >4.60%</td>\n",
       "      <td id=\"T_6c430_row11_col8\" class=\"data row11 col8\" >4.57%</td>\n",
       "      <td id=\"T_6c430_row11_col9\" class=\"data row11 col9\" >4.55%</td>\n",
       "      <td id=\"T_6c430_row11_col10\" class=\"data row11 col10\" >4.37%</td>\n",
       "      <td id=\"T_6c430_row11_col11\" class=\"data row11 col11\" >4.40%</td>\n",
       "      <td id=\"T_6c430_row11_col12\" class=\"data row11 col12\" >4.09%</td>\n",
       "      <td id=\"T_6c430_row11_col13\" class=\"data row11 col13\" >4.62%</td>\n",
       "      <td id=\"T_6c430_row11_col14\" class=\"data row11 col14\" >4.59%</td>\n",
       "      <td id=\"T_6c430_row11_col15\" class=\"data row11 col15\" >3.64%</td>\n",
       "      <td id=\"T_6c430_row11_col16\" class=\"data row11 col16\" >3.24%</td>\n",
       "      <td id=\"T_6c430_row11_col17\" class=\"data row11 col17\" >4.25%</td>\n",
       "      <td id=\"T_6c430_row11_col18\" class=\"data row11 col18\" >4.14%</td>\n",
       "      <td id=\"T_6c430_row11_col19\" class=\"data row11 col19\" >4.05%</td>\n",
       "      <td id=\"T_6c430_row11_col20\" class=\"data row11 col20\" >3.59%</td>\n",
       "      <td id=\"T_6c430_row11_col21\" class=\"data row11 col21\" >3.85%</td>\n",
       "      <td id=\"T_6c430_row11_col22\" class=\"data row11 col22\" >3.19%</td>\n",
       "      <td id=\"T_6c430_row11_col23\" class=\"data row11 col23\" >4.38%</td>\n",
       "      <td id=\"T_6c430_row11_col24\" class=\"data row11 col24\" >4.21%</td>\n",
       "      <td id=\"T_6c430_row11_col25\" class=\"data row11 col25\" >4.14%</td>\n",
       "      <td id=\"T_6c430_row11_col26\" class=\"data row11 col26\" >3.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "      <td id=\"T_6c430_row12_col0\" class=\"data row12 col0\" >4.21%</td>\n",
       "      <td id=\"T_6c430_row12_col1\" class=\"data row12 col1\" >5.40%</td>\n",
       "      <td id=\"T_6c430_row12_col2\" class=\"data row12 col2\" >4.31%</td>\n",
       "      <td id=\"T_6c430_row12_col3\" class=\"data row12 col3\" >4.27%</td>\n",
       "      <td id=\"T_6c430_row12_col4\" class=\"data row12 col4\" >4.19%</td>\n",
       "      <td id=\"T_6c430_row12_col5\" class=\"data row12 col5\" >4.64%</td>\n",
       "      <td id=\"T_6c430_row12_col6\" class=\"data row12 col6\" >4.33%</td>\n",
       "      <td id=\"T_6c430_row12_col7\" class=\"data row12 col7\" >4.42%</td>\n",
       "      <td id=\"T_6c430_row12_col8\" class=\"data row12 col8\" >3.96%</td>\n",
       "      <td id=\"T_6c430_row12_col9\" class=\"data row12 col9\" >4.00%</td>\n",
       "      <td id=\"T_6c430_row12_col10\" class=\"data row12 col10\" >5.00%</td>\n",
       "      <td id=\"T_6c430_row12_col11\" class=\"data row12 col11\" >5.20%</td>\n",
       "      <td id=\"T_6c430_row12_col12\" class=\"data row12 col12\" >4.25%</td>\n",
       "      <td id=\"T_6c430_row12_col13\" class=\"data row12 col13\" >4.00%</td>\n",
       "      <td id=\"T_6c430_row12_col14\" class=\"data row12 col14\" >4.00%</td>\n",
       "      <td id=\"T_6c430_row12_col15\" class=\"data row12 col15\" >4.44%</td>\n",
       "      <td id=\"T_6c430_row12_col16\" class=\"data row12 col16\" >10.81%</td>\n",
       "      <td id=\"T_6c430_row12_col17\" class=\"data row12 col17\" >9.34%</td>\n",
       "      <td id=\"T_6c430_row12_col18\" class=\"data row12 col18\" >7.07%</td>\n",
       "      <td id=\"T_6c430_row12_col19\" class=\"data row12 col19\" >5.61%</td>\n",
       "      <td id=\"T_6c430_row12_col20\" class=\"data row12 col20\" >9.50%</td>\n",
       "      <td id=\"T_6c430_row12_col21\" class=\"data row12 col21\" >4.48%</td>\n",
       "      <td id=\"T_6c430_row12_col22\" class=\"data row12 col22\" >10.95%</td>\n",
       "      <td id=\"T_6c430_row12_col23\" class=\"data row12 col23\" >9.05%</td>\n",
       "      <td id=\"T_6c430_row12_col24\" class=\"data row12 col24\" >6.82%</td>\n",
       "      <td id=\"T_6c430_row12_col25\" class=\"data row12 col25\" >5.59%</td>\n",
       "      <td id=\"T_6c430_row12_col26\" class=\"data row12 col26\" >9.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "      <td id=\"T_6c430_row13_col0\" class=\"data row13 col0\" >4.53%</td>\n",
       "      <td id=\"T_6c430_row13_col1\" class=\"data row13 col1\" >6.28%</td>\n",
       "      <td id=\"T_6c430_row13_col2\" class=\"data row13 col2\" >4.38%</td>\n",
       "      <td id=\"T_6c430_row13_col3\" class=\"data row13 col3\" >4.43%</td>\n",
       "      <td id=\"T_6c430_row13_col4\" class=\"data row13 col4\" >4.40%</td>\n",
       "      <td id=\"T_6c430_row13_col5\" class=\"data row13 col5\" >4.13%</td>\n",
       "      <td id=\"T_6c430_row13_col6\" class=\"data row13 col6\" >4.28%</td>\n",
       "      <td id=\"T_6c430_row13_col7\" class=\"data row13 col7\" >4.51%</td>\n",
       "      <td id=\"T_6c430_row13_col8\" class=\"data row13 col8\" >4.37%</td>\n",
       "      <td id=\"T_6c430_row13_col9\" class=\"data row13 col9\" >4.33%</td>\n",
       "      <td id=\"T_6c430_row13_col10\" class=\"data row13 col10\" >3.98%</td>\n",
       "      <td id=\"T_6c430_row13_col11\" class=\"data row13 col11\" >3.84%</td>\n",
       "      <td id=\"T_6c430_row13_col12\" class=\"data row13 col12\" >4.52%</td>\n",
       "      <td id=\"T_6c430_row13_col13\" class=\"data row13 col13\" >4.67%</td>\n",
       "      <td id=\"T_6c430_row13_col14\" class=\"data row13 col14\" >4.72%</td>\n",
       "      <td id=\"T_6c430_row13_col15\" class=\"data row13 col15\" >3.29%</td>\n",
       "      <td id=\"T_6c430_row13_col16\" class=\"data row13 col16\" >1.71%</td>\n",
       "      <td id=\"T_6c430_row13_col17\" class=\"data row13 col17\" >2.22%</td>\n",
       "      <td id=\"T_6c430_row13_col18\" class=\"data row13 col18\" >2.62%</td>\n",
       "      <td id=\"T_6c430_row13_col19\" class=\"data row13 col19\" >2.89%</td>\n",
       "      <td id=\"T_6c430_row13_col20\" class=\"data row13 col20\" >2.02%</td>\n",
       "      <td id=\"T_6c430_row13_col21\" class=\"data row13 col21\" >3.10%</td>\n",
       "      <td id=\"T_6c430_row13_col22\" class=\"data row13 col22\" >1.72%</td>\n",
       "      <td id=\"T_6c430_row13_col23\" class=\"data row13 col23\" >2.20%</td>\n",
       "      <td id=\"T_6c430_row13_col24\" class=\"data row13 col24\" >2.56%</td>\n",
       "      <td id=\"T_6c430_row13_col25\" class=\"data row13 col25\" >2.77%</td>\n",
       "      <td id=\"T_6c430_row13_col26\" class=\"data row13 col26\" >2.01%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "      <td id=\"T_6c430_row14_col0\" class=\"data row14 col0\" >3.01%</td>\n",
       "      <td id=\"T_6c430_row14_col1\" class=\"data row14 col1\" >2.76%</td>\n",
       "      <td id=\"T_6c430_row14_col2\" class=\"data row14 col2\" >3.15%</td>\n",
       "      <td id=\"T_6c430_row14_col3\" class=\"data row14 col3\" >3.07%</td>\n",
       "      <td id=\"T_6c430_row14_col4\" class=\"data row14 col4\" >3.03%</td>\n",
       "      <td id=\"T_6c430_row14_col5\" class=\"data row14 col5\" >3.44%</td>\n",
       "      <td id=\"T_6c430_row14_col6\" class=\"data row14 col6\" >3.14%</td>\n",
       "      <td id=\"T_6c430_row14_col7\" class=\"data row14 col7\" >3.05%</td>\n",
       "      <td id=\"T_6c430_row14_col8\" class=\"data row14 col8\" >2.81%</td>\n",
       "      <td id=\"T_6c430_row14_col9\" class=\"data row14 col9\" >2.90%</td>\n",
       "      <td id=\"T_6c430_row14_col10\" class=\"data row14 col10\" >3.41%</td>\n",
       "      <td id=\"T_6c430_row14_col11\" class=\"data row14 col11\" >3.24%</td>\n",
       "      <td id=\"T_6c430_row14_col12\" class=\"data row14 col12\" >2.98%</td>\n",
       "      <td id=\"T_6c430_row14_col13\" class=\"data row14 col13\" >2.83%</td>\n",
       "      <td id=\"T_6c430_row14_col14\" class=\"data row14 col14\" >2.83%</td>\n",
       "      <td id=\"T_6c430_row14_col15\" class=\"data row14 col15\" >3.93%</td>\n",
       "      <td id=\"T_6c430_row14_col16\" class=\"data row14 col16\" >10.16%</td>\n",
       "      <td id=\"T_6c430_row14_col17\" class=\"data row14 col17\" >6.46%</td>\n",
       "      <td id=\"T_6c430_row14_col18\" class=\"data row14 col18\" >5.71%</td>\n",
       "      <td id=\"T_6c430_row14_col19\" class=\"data row14 col19\" >4.95%</td>\n",
       "      <td id=\"T_6c430_row14_col20\" class=\"data row14 col20\" >8.14%</td>\n",
       "      <td id=\"T_6c430_row14_col21\" class=\"data row14 col21\" >3.75%</td>\n",
       "      <td id=\"T_6c430_row14_col22\" class=\"data row14 col22\" >9.82%</td>\n",
       "      <td id=\"T_6c430_row14_col23\" class=\"data row14 col23\" >6.19%</td>\n",
       "      <td id=\"T_6c430_row14_col24\" class=\"data row14 col24\" >5.30%</td>\n",
       "      <td id=\"T_6c430_row14_col25\" class=\"data row14 col25\" >4.65%</td>\n",
       "      <td id=\"T_6c430_row14_col26\" class=\"data row14 col26\" >7.82%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "      <td id=\"T_6c430_row15_col0\" class=\"data row15 col0\" >4.15%</td>\n",
       "      <td id=\"T_6c430_row15_col1\" class=\"data row15 col1\" >5.05%</td>\n",
       "      <td id=\"T_6c430_row15_col2\" class=\"data row15 col2\" >3.92%</td>\n",
       "      <td id=\"T_6c430_row15_col3\" class=\"data row15 col3\" >4.05%</td>\n",
       "      <td id=\"T_6c430_row15_col4\" class=\"data row15 col4\" >4.04%</td>\n",
       "      <td id=\"T_6c430_row15_col5\" class=\"data row15 col5\" >3.91%</td>\n",
       "      <td id=\"T_6c430_row15_col6\" class=\"data row15 col6\" >4.05%</td>\n",
       "      <td id=\"T_6c430_row15_col7\" class=\"data row15 col7\" >4.02%</td>\n",
       "      <td id=\"T_6c430_row15_col8\" class=\"data row15 col8\" >4.36%</td>\n",
       "      <td id=\"T_6c430_row15_col9\" class=\"data row15 col9\" >4.33%</td>\n",
       "      <td id=\"T_6c430_row15_col10\" class=\"data row15 col10\" >2.95%</td>\n",
       "      <td id=\"T_6c430_row15_col11\" class=\"data row15 col11\" >2.44%</td>\n",
       "      <td id=\"T_6c430_row15_col12\" class=\"data row15 col12\" >4.11%</td>\n",
       "      <td id=\"T_6c430_row15_col13\" class=\"data row15 col13\" >4.44%</td>\n",
       "      <td id=\"T_6c430_row15_col14\" class=\"data row15 col14\" >4.52%</td>\n",
       "      <td id=\"T_6c430_row15_col15\" class=\"data row15 col15\" >6.40%</td>\n",
       "      <td id=\"T_6c430_row15_col16\" class=\"data row15 col16\" >4.39%</td>\n",
       "      <td id=\"T_6c430_row15_col17\" class=\"data row15 col17\" >3.96%</td>\n",
       "      <td id=\"T_6c430_row15_col18\" class=\"data row15 col18\" >4.75%</td>\n",
       "      <td id=\"T_6c430_row15_col19\" class=\"data row15 col19\" >5.40%</td>\n",
       "      <td id=\"T_6c430_row15_col20\" class=\"data row15 col20\" >4.53%</td>\n",
       "      <td id=\"T_6c430_row15_col21\" class=\"data row15 col21\" >6.45%</td>\n",
       "      <td id=\"T_6c430_row15_col22\" class=\"data row15 col22\" >4.54%</td>\n",
       "      <td id=\"T_6c430_row15_col23\" class=\"data row15 col23\" >4.04%</td>\n",
       "      <td id=\"T_6c430_row15_col24\" class=\"data row15 col24\" >4.95%</td>\n",
       "      <td id=\"T_6c430_row15_col25\" class=\"data row15 col25\" >5.51%</td>\n",
       "      <td id=\"T_6c430_row15_col26\" class=\"data row15 col26\" >4.68%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "      <td id=\"T_6c430_row16_col0\" class=\"data row16 col0\" >2.50%</td>\n",
       "      <td id=\"T_6c430_row16_col1\" class=\"data row16 col1\" >1.90%</td>\n",
       "      <td id=\"T_6c430_row16_col2\" class=\"data row16 col2\" >2.59%</td>\n",
       "      <td id=\"T_6c430_row16_col3\" class=\"data row16 col3\" >2.54%</td>\n",
       "      <td id=\"T_6c430_row16_col4\" class=\"data row16 col4\" >2.54%</td>\n",
       "      <td id=\"T_6c430_row16_col5\" class=\"data row16 col5\" >2.63%</td>\n",
       "      <td id=\"T_6c430_row16_col6\" class=\"data row16 col6\" >2.55%</td>\n",
       "      <td id=\"T_6c430_row16_col7\" class=\"data row16 col7\" >2.57%</td>\n",
       "      <td id=\"T_6c430_row16_col8\" class=\"data row16 col8\" >2.52%</td>\n",
       "      <td id=\"T_6c430_row16_col9\" class=\"data row16 col9\" >2.53%</td>\n",
       "      <td id=\"T_6c430_row16_col10\" class=\"data row16 col10\" >2.13%</td>\n",
       "      <td id=\"T_6c430_row16_col11\" class=\"data row16 col11\" >1.77%</td>\n",
       "      <td id=\"T_6c430_row16_col12\" class=\"data row16 col12\" >2.25%</td>\n",
       "      <td id=\"T_6c430_row16_col13\" class=\"data row16 col13\" >2.45%</td>\n",
       "      <td id=\"T_6c430_row16_col14\" class=\"data row16 col14\" >2.44%</td>\n",
       "      <td id=\"T_6c430_row16_col15\" class=\"data row16 col15\" >2.22%</td>\n",
       "      <td id=\"T_6c430_row16_col16\" class=\"data row16 col16\" >2.45%</td>\n",
       "      <td id=\"T_6c430_row16_col17\" class=\"data row16 col17\" >2.29%</td>\n",
       "      <td id=\"T_6c430_row16_col18\" class=\"data row16 col18\" >2.06%</td>\n",
       "      <td id=\"T_6c430_row16_col19\" class=\"data row16 col19\" >2.11%</td>\n",
       "      <td id=\"T_6c430_row16_col20\" class=\"data row16 col20\" >2.36%</td>\n",
       "      <td id=\"T_6c430_row16_col21\" class=\"data row16 col21\" >2.24%</td>\n",
       "      <td id=\"T_6c430_row16_col22\" class=\"data row16 col22\" >2.36%</td>\n",
       "      <td id=\"T_6c430_row16_col23\" class=\"data row16 col23\" >2.35%</td>\n",
       "      <td id=\"T_6c430_row16_col24\" class=\"data row16 col24\" >2.11%</td>\n",
       "      <td id=\"T_6c430_row16_col25\" class=\"data row16 col25\" >2.14%</td>\n",
       "      <td id=\"T_6c430_row16_col26\" class=\"data row16 col26\" >2.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "      <td id=\"T_6c430_row17_col0\" class=\"data row17 col0\" >4.51%</td>\n",
       "      <td id=\"T_6c430_row17_col1\" class=\"data row17 col1\" >6.01%</td>\n",
       "      <td id=\"T_6c430_row17_col2\" class=\"data row17 col2\" >4.08%</td>\n",
       "      <td id=\"T_6c430_row17_col3\" class=\"data row17 col3\" >4.21%</td>\n",
       "      <td id=\"T_6c430_row17_col4\" class=\"data row17 col4\" >4.69%</td>\n",
       "      <td id=\"T_6c430_row17_col5\" class=\"data row17 col5\" >3.85%</td>\n",
       "      <td id=\"T_6c430_row17_col6\" class=\"data row17 col6\" >4.58%</td>\n",
       "      <td id=\"T_6c430_row17_col7\" class=\"data row17 col7\" >4.48%</td>\n",
       "      <td id=\"T_6c430_row17_col8\" class=\"data row17 col8\" >4.90%</td>\n",
       "      <td id=\"T_6c430_row17_col9\" class=\"data row17 col9\" >5.09%</td>\n",
       "      <td id=\"T_6c430_row17_col10\" class=\"data row17 col10\" >5.38%</td>\n",
       "      <td id=\"T_6c430_row17_col11\" class=\"data row17 col11\" >5.67%</td>\n",
       "      <td id=\"T_6c430_row17_col12\" class=\"data row17 col12\" >6.05%</td>\n",
       "      <td id=\"T_6c430_row17_col13\" class=\"data row17 col13\" >4.69%</td>\n",
       "      <td id=\"T_6c430_row17_col14\" class=\"data row17 col14\" >4.90%</td>\n",
       "      <td id=\"T_6c430_row17_col15\" class=\"data row17 col15\" >4.32%</td>\n",
       "      <td id=\"T_6c430_row17_col16\" class=\"data row17 col16\" >1.75%</td>\n",
       "      <td id=\"T_6c430_row17_col17\" class=\"data row17 col17\" >2.73%</td>\n",
       "      <td id=\"T_6c430_row17_col18\" class=\"data row17 col18\" >3.35%</td>\n",
       "      <td id=\"T_6c430_row17_col19\" class=\"data row17 col19\" >3.75%</td>\n",
       "      <td id=\"T_6c430_row17_col20\" class=\"data row17 col20\" >2.23%</td>\n",
       "      <td id=\"T_6c430_row17_col21\" class=\"data row17 col21\" >3.99%</td>\n",
       "      <td id=\"T_6c430_row17_col22\" class=\"data row17 col22\" >1.71%</td>\n",
       "      <td id=\"T_6c430_row17_col23\" class=\"data row17 col23\" >2.70%</td>\n",
       "      <td id=\"T_6c430_row17_col24\" class=\"data row17 col24\" >3.27%</td>\n",
       "      <td id=\"T_6c430_row17_col25\" class=\"data row17 col25\" >3.56%</td>\n",
       "      <td id=\"T_6c430_row17_col26\" class=\"data row17 col26\" >2.19%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "      <td id=\"T_6c430_row18_col0\" class=\"data row18 col0\" >3.59%</td>\n",
       "      <td id=\"T_6c430_row18_col1\" class=\"data row18 col1\" >3.75%</td>\n",
       "      <td id=\"T_6c430_row18_col2\" class=\"data row18 col2\" >3.36%</td>\n",
       "      <td id=\"T_6c430_row18_col3\" class=\"data row18 col3\" >3.39%</td>\n",
       "      <td id=\"T_6c430_row18_col4\" class=\"data row18 col4\" >3.51%</td>\n",
       "      <td id=\"T_6c430_row18_col5\" class=\"data row18 col5\" >3.14%</td>\n",
       "      <td id=\"T_6c430_row18_col6\" class=\"data row18 col6\" >3.41%</td>\n",
       "      <td id=\"T_6c430_row18_col7\" class=\"data row18 col7\" >3.11%</td>\n",
       "      <td id=\"T_6c430_row18_col8\" class=\"data row18 col8\" >3.28%</td>\n",
       "      <td id=\"T_6c430_row18_col9\" class=\"data row18 col9\" >3.48%</td>\n",
       "      <td id=\"T_6c430_row18_col10\" class=\"data row18 col10\" >4.63%</td>\n",
       "      <td id=\"T_6c430_row18_col11\" class=\"data row18 col11\" >4.99%</td>\n",
       "      <td id=\"T_6c430_row18_col12\" class=\"data row18 col12\" >4.38%</td>\n",
       "      <td id=\"T_6c430_row18_col13\" class=\"data row18 col13\" >3.49%</td>\n",
       "      <td id=\"T_6c430_row18_col14\" class=\"data row18 col14\" >3.60%</td>\n",
       "      <td id=\"T_6c430_row18_col15\" class=\"data row18 col15\" >2.47%</td>\n",
       "      <td id=\"T_6c430_row18_col16\" class=\"data row18 col16\" >1.96%</td>\n",
       "      <td id=\"T_6c430_row18_col17\" class=\"data row18 col17\" >2.54%</td>\n",
       "      <td id=\"T_6c430_row18_col18\" class=\"data row18 col18\" >2.33%</td>\n",
       "      <td id=\"T_6c430_row18_col19\" class=\"data row18 col19\" >2.35%</td>\n",
       "      <td id=\"T_6c430_row18_col20\" class=\"data row18 col20\" >2.32%</td>\n",
       "      <td id=\"T_6c430_row18_col21\" class=\"data row18 col21\" >2.51%</td>\n",
       "      <td id=\"T_6c430_row18_col22\" class=\"data row18 col22\" >1.82%</td>\n",
       "      <td id=\"T_6c430_row18_col23\" class=\"data row18 col23\" >2.54%</td>\n",
       "      <td id=\"T_6c430_row18_col24\" class=\"data row18 col24\" >2.31%</td>\n",
       "      <td id=\"T_6c430_row18_col25\" class=\"data row18 col25\" >2.36%</td>\n",
       "      <td id=\"T_6c430_row18_col26\" class=\"data row18 col26\" >2.20%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "      <td id=\"T_6c430_row19_col0\" class=\"data row19 col0\" >4.39%</td>\n",
       "      <td id=\"T_6c430_row19_col1\" class=\"data row19 col1\" >5.86%</td>\n",
       "      <td id=\"T_6c430_row19_col2\" class=\"data row19 col2\" >4.47%</td>\n",
       "      <td id=\"T_6c430_row19_col3\" class=\"data row19 col3\" >4.47%</td>\n",
       "      <td id=\"T_6c430_row19_col4\" class=\"data row19 col4\" >4.11%</td>\n",
       "      <td id=\"T_6c430_row19_col5\" class=\"data row19 col5\" >4.53%</td>\n",
       "      <td id=\"T_6c430_row19_col6\" class=\"data row19 col6\" >4.12%</td>\n",
       "      <td id=\"T_6c430_row19_col7\" class=\"data row19 col7\" >4.19%</td>\n",
       "      <td id=\"T_6c430_row19_col8\" class=\"data row19 col8\" >3.88%</td>\n",
       "      <td id=\"T_6c430_row19_col9\" class=\"data row19 col9\" >3.73%</td>\n",
       "      <td id=\"T_6c430_row19_col10\" class=\"data row19 col10\" >3.42%</td>\n",
       "      <td id=\"T_6c430_row19_col11\" class=\"data row19 col11\" >3.18%</td>\n",
       "      <td id=\"T_6c430_row19_col12\" class=\"data row19 col12\" >4.34%</td>\n",
       "      <td id=\"T_6c430_row19_col13\" class=\"data row19 col13\" >4.33%</td>\n",
       "      <td id=\"T_6c430_row19_col14\" class=\"data row19 col14\" >4.28%</td>\n",
       "      <td id=\"T_6c430_row19_col15\" class=\"data row19 col15\" >3.66%</td>\n",
       "      <td id=\"T_6c430_row19_col16\" class=\"data row19 col16\" >2.86%</td>\n",
       "      <td id=\"T_6c430_row19_col17\" class=\"data row19 col17\" >3.17%</td>\n",
       "      <td id=\"T_6c430_row19_col18\" class=\"data row19 col18\" >3.61%</td>\n",
       "      <td id=\"T_6c430_row19_col19\" class=\"data row19 col19\" >3.77%</td>\n",
       "      <td id=\"T_6c430_row19_col20\" class=\"data row19 col20\" >2.97%</td>\n",
       "      <td id=\"T_6c430_row19_col21\" class=\"data row19 col21\" >3.46%</td>\n",
       "      <td id=\"T_6c430_row19_col22\" class=\"data row19 col22\" >2.82%</td>\n",
       "      <td id=\"T_6c430_row19_col23\" class=\"data row19 col23\" >3.04%</td>\n",
       "      <td id=\"T_6c430_row19_col24\" class=\"data row19 col24\" >3.48%</td>\n",
       "      <td id=\"T_6c430_row19_col25\" class=\"data row19 col25\" >3.59%</td>\n",
       "      <td id=\"T_6c430_row19_col26\" class=\"data row19 col26\" >2.90%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "      <td id=\"T_6c430_row20_col0\" class=\"data row20 col0\" >4.66%</td>\n",
       "      <td id=\"T_6c430_row20_col1\" class=\"data row20 col1\" >3.17%</td>\n",
       "      <td id=\"T_6c430_row20_col2\" class=\"data row20 col2\" >5.06%</td>\n",
       "      <td id=\"T_6c430_row20_col3\" class=\"data row20 col3\" >4.99%</td>\n",
       "      <td id=\"T_6c430_row20_col4\" class=\"data row20 col4\" >4.90%</td>\n",
       "      <td id=\"T_6c430_row20_col5\" class=\"data row20 col5\" >5.03%</td>\n",
       "      <td id=\"T_6c430_row20_col6\" class=\"data row20 col6\" >4.89%</td>\n",
       "      <td id=\"T_6c430_row20_col7\" class=\"data row20 col7\" >5.27%</td>\n",
       "      <td id=\"T_6c430_row20_col8\" class=\"data row20 col8\" >4.98%</td>\n",
       "      <td id=\"T_6c430_row20_col9\" class=\"data row20 col9\" >4.84%</td>\n",
       "      <td id=\"T_6c430_row20_col10\" class=\"data row20 col10\" >4.62%</td>\n",
       "      <td id=\"T_6c430_row20_col11\" class=\"data row20 col11\" >4.53%</td>\n",
       "      <td id=\"T_6c430_row20_col12\" class=\"data row20 col12\" >2.95%</td>\n",
       "      <td id=\"T_6c430_row20_col13\" class=\"data row20 col13\" >4.72%</td>\n",
       "      <td id=\"T_6c430_row20_col14\" class=\"data row20 col14\" >4.47%</td>\n",
       "      <td id=\"T_6c430_row20_col15\" class=\"data row20 col15\" >4.00%</td>\n",
       "      <td id=\"T_6c430_row20_col16\" class=\"data row20 col16\" >2.66%</td>\n",
       "      <td id=\"T_6c430_row20_col17\" class=\"data row20 col17\" >3.04%</td>\n",
       "      <td id=\"T_6c430_row20_col18\" class=\"data row20 col18\" >3.10%</td>\n",
       "      <td id=\"T_6c430_row20_col19\" class=\"data row20 col19\" >3.36%</td>\n",
       "      <td id=\"T_6c430_row20_col20\" class=\"data row20 col20\" >2.74%</td>\n",
       "      <td id=\"T_6c430_row20_col21\" class=\"data row20 col21\" >4.29%</td>\n",
       "      <td id=\"T_6c430_row20_col22\" class=\"data row20 col22\" >2.96%</td>\n",
       "      <td id=\"T_6c430_row20_col23\" class=\"data row20 col23\" >3.31%</td>\n",
       "      <td id=\"T_6c430_row20_col24\" class=\"data row20 col24\" >3.40%</td>\n",
       "      <td id=\"T_6c430_row20_col25\" class=\"data row20 col25\" >3.65%</td>\n",
       "      <td id=\"T_6c430_row20_col26\" class=\"data row20 col26\" >3.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "      <td id=\"T_6c430_row21_col0\" class=\"data row21 col0\" >5.83%</td>\n",
       "      <td id=\"T_6c430_row21_col1\" class=\"data row21 col1\" >5.22%</td>\n",
       "      <td id=\"T_6c430_row21_col2\" class=\"data row21 col2\" >5.92%</td>\n",
       "      <td id=\"T_6c430_row21_col3\" class=\"data row21 col3\" >5.87%</td>\n",
       "      <td id=\"T_6c430_row21_col4\" class=\"data row21 col4\" >5.87%</td>\n",
       "      <td id=\"T_6c430_row21_col5\" class=\"data row21 col5\" >6.15%</td>\n",
       "      <td id=\"T_6c430_row21_col6\" class=\"data row21 col6\" >5.98%</td>\n",
       "      <td id=\"T_6c430_row21_col7\" class=\"data row21 col7\" >5.73%</td>\n",
       "      <td id=\"T_6c430_row21_col8\" class=\"data row21 col8\" >5.73%</td>\n",
       "      <td id=\"T_6c430_row21_col9\" class=\"data row21 col9\" >5.76%</td>\n",
       "      <td id=\"T_6c430_row21_col10\" class=\"data row21 col10\" >6.39%</td>\n",
       "      <td id=\"T_6c430_row21_col11\" class=\"data row21 col11\" >7.16%</td>\n",
       "      <td id=\"T_6c430_row21_col12\" class=\"data row21 col12\" >5.92%</td>\n",
       "      <td id=\"T_6c430_row21_col13\" class=\"data row21 col13\" >5.72%</td>\n",
       "      <td id=\"T_6c430_row21_col14\" class=\"data row21 col14\" >5.69%</td>\n",
       "      <td id=\"T_6c430_row21_col15\" class=\"data row21 col15\" >7.79%</td>\n",
       "      <td id=\"T_6c430_row21_col16\" class=\"data row21 col16\" >8.65%</td>\n",
       "      <td id=\"T_6c430_row21_col17\" class=\"data row21 col17\" >9.75%</td>\n",
       "      <td id=\"T_6c430_row21_col18\" class=\"data row21 col18\" >10.15%</td>\n",
       "      <td id=\"T_6c430_row21_col19\" class=\"data row21 col19\" >9.23%</td>\n",
       "      <td id=\"T_6c430_row21_col20\" class=\"data row21 col20\" >9.23%</td>\n",
       "      <td id=\"T_6c430_row21_col21\" class=\"data row21 col21\" >7.70%</td>\n",
       "      <td id=\"T_6c430_row21_col22\" class=\"data row21 col22\" >8.67%</td>\n",
       "      <td id=\"T_6c430_row21_col23\" class=\"data row21 col23\" >9.51%</td>\n",
       "      <td id=\"T_6c430_row21_col24\" class=\"data row21 col24\" >9.81%</td>\n",
       "      <td id=\"T_6c430_row21_col25\" class=\"data row21 col25\" >9.06%</td>\n",
       "      <td id=\"T_6c430_row21_col26\" class=\"data row21 col26\" >9.15%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "      <td id=\"T_6c430_row22_col0\" class=\"data row22 col0\" >4.52%</td>\n",
       "      <td id=\"T_6c430_row22_col1\" class=\"data row22 col1\" >3.05%</td>\n",
       "      <td id=\"T_6c430_row22_col2\" class=\"data row22 col2\" >4.85%</td>\n",
       "      <td id=\"T_6c430_row22_col3\" class=\"data row22 col3\" >4.73%</td>\n",
       "      <td id=\"T_6c430_row22_col4\" class=\"data row22 col4\" >4.33%</td>\n",
       "      <td id=\"T_6c430_row22_col5\" class=\"data row22 col5\" >4.65%</td>\n",
       "      <td id=\"T_6c430_row22_col6\" class=\"data row22 col6\" >4.21%</td>\n",
       "      <td id=\"T_6c430_row22_col7\" class=\"data row22 col7\" >4.56%</td>\n",
       "      <td id=\"T_6c430_row22_col8\" class=\"data row22 col8\" >4.08%</td>\n",
       "      <td id=\"T_6c430_row22_col9\" class=\"data row22 col9\" >3.97%</td>\n",
       "      <td id=\"T_6c430_row22_col10\" class=\"data row22 col10\" >3.29%</td>\n",
       "      <td id=\"T_6c430_row22_col11\" class=\"data row22 col11\" >2.71%</td>\n",
       "      <td id=\"T_6c430_row22_col12\" class=\"data row22 col12\" >3.67%</td>\n",
       "      <td id=\"T_6c430_row22_col13\" class=\"data row22 col13\" >4.36%</td>\n",
       "      <td id=\"T_6c430_row22_col14\" class=\"data row22 col14\" >4.25%</td>\n",
       "      <td id=\"T_6c430_row22_col15\" class=\"data row22 col15\" >2.92%</td>\n",
       "      <td id=\"T_6c430_row22_col16\" class=\"data row22 col16\" >2.73%</td>\n",
       "      <td id=\"T_6c430_row22_col17\" class=\"data row22 col17\" >2.26%</td>\n",
       "      <td id=\"T_6c430_row22_col18\" class=\"data row22 col18\" >2.35%</td>\n",
       "      <td id=\"T_6c430_row22_col19\" class=\"data row22 col19\" >2.58%</td>\n",
       "      <td id=\"T_6c430_row22_col20\" class=\"data row22 col20\" >2.44%</td>\n",
       "      <td id=\"T_6c430_row22_col21\" class=\"data row22 col21\" >3.14%</td>\n",
       "      <td id=\"T_6c430_row22_col22\" class=\"data row22 col22\" >2.89%</td>\n",
       "      <td id=\"T_6c430_row22_col23\" class=\"data row22 col23\" >2.49%</td>\n",
       "      <td id=\"T_6c430_row22_col24\" class=\"data row22 col24\" >2.53%</td>\n",
       "      <td id=\"T_6c430_row22_col25\" class=\"data row22 col25\" >2.75%</td>\n",
       "      <td id=\"T_6c430_row22_col26\" class=\"data row22 col26\" >2.63%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "      <td id=\"T_6c430_row23_col0\" class=\"data row23 col0\" >7.82%</td>\n",
       "      <td id=\"T_6c430_row23_col1\" class=\"data row23 col1\" >9.24%</td>\n",
       "      <td id=\"T_6c430_row23_col2\" class=\"data row23 col2\" >7.55%</td>\n",
       "      <td id=\"T_6c430_row23_col3\" class=\"data row23 col3\" >7.68%</td>\n",
       "      <td id=\"T_6c430_row23_col4\" class=\"data row23 col4\" >8.08%</td>\n",
       "      <td id=\"T_6c430_row23_col5\" class=\"data row23 col5\" >7.48%</td>\n",
       "      <td id=\"T_6c430_row23_col6\" class=\"data row23 col6\" >8.09%</td>\n",
       "      <td id=\"T_6c430_row23_col7\" class=\"data row23 col7\" >8.19%</td>\n",
       "      <td id=\"T_6c430_row23_col8\" class=\"data row23 col8\" >8.53%</td>\n",
       "      <td id=\"T_6c430_row23_col9\" class=\"data row23 col9\" >8.45%</td>\n",
       "      <td id=\"T_6c430_row23_col10\" class=\"data row23 col10\" >8.08%</td>\n",
       "      <td id=\"T_6c430_row23_col11\" class=\"data row23 col11\" >8.05%</td>\n",
       "      <td id=\"T_6c430_row23_col12\" class=\"data row23 col12\" >7.31%</td>\n",
       "      <td id=\"T_6c430_row23_col13\" class=\"data row23 col13\" >8.07%</td>\n",
       "      <td id=\"T_6c430_row23_col14\" class=\"data row23 col14\" >8.00%</td>\n",
       "      <td id=\"T_6c430_row23_col15\" class=\"data row23 col15\" >11.46%</td>\n",
       "      <td id=\"T_6c430_row23_col16\" class=\"data row23 col16\" >6.02%</td>\n",
       "      <td id=\"T_6c430_row23_col17\" class=\"data row23 col17\" >8.65%</td>\n",
       "      <td id=\"T_6c430_row23_col18\" class=\"data row23 col18\" >9.83%</td>\n",
       "      <td id=\"T_6c430_row23_col19\" class=\"data row23 col19\" >10.57%</td>\n",
       "      <td id=\"T_6c430_row23_col20\" class=\"data row23 col20\" >7.49%</td>\n",
       "      <td id=\"T_6c430_row23_col21\" class=\"data row23 col21\" >10.83%</td>\n",
       "      <td id=\"T_6c430_row23_col22\" class=\"data row23 col22\" >5.93%</td>\n",
       "      <td id=\"T_6c430_row23_col23\" class=\"data row23 col23\" >8.50%</td>\n",
       "      <td id=\"T_6c430_row23_col24\" class=\"data row23 col24\" >9.58%</td>\n",
       "      <td id=\"T_6c430_row23_col25\" class=\"data row23 col25\" >10.17%</td>\n",
       "      <td id=\"T_6c430_row23_col26\" class=\"data row23 col26\" >7.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6c430_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "      <td id=\"T_6c430_row24_col0\" class=\"data row24 col0\" >3.89%</td>\n",
       "      <td id=\"T_6c430_row24_col1\" class=\"data row24 col1\" >2.27%</td>\n",
       "      <td id=\"T_6c430_row24_col2\" class=\"data row24 col2\" >3.98%</td>\n",
       "      <td id=\"T_6c430_row24_col3\" class=\"data row24 col3\" >3.94%</td>\n",
       "      <td id=\"T_6c430_row24_col4\" class=\"data row24 col4\" >3.88%</td>\n",
       "      <td id=\"T_6c430_row24_col5\" class=\"data row24 col5\" >3.96%</td>\n",
       "      <td id=\"T_6c430_row24_col6\" class=\"data row24 col6\" >3.86%</td>\n",
       "      <td id=\"T_6c430_row24_col7\" class=\"data row24 col7\" >4.17%</td>\n",
       "      <td id=\"T_6c430_row24_col8\" class=\"data row24 col8\" >3.80%</td>\n",
       "      <td id=\"T_6c430_row24_col9\" class=\"data row24 col9\" >3.79%</td>\n",
       "      <td id=\"T_6c430_row24_col10\" class=\"data row24 col10\" >3.28%</td>\n",
       "      <td id=\"T_6c430_row24_col11\" class=\"data row24 col11\" >2.69%</td>\n",
       "      <td id=\"T_6c430_row24_col12\" class=\"data row24 col12\" >3.29%</td>\n",
       "      <td id=\"T_6c430_row24_col13\" class=\"data row24 col13\" >3.79%</td>\n",
       "      <td id=\"T_6c430_row24_col14\" class=\"data row24 col14\" >3.75%</td>\n",
       "      <td id=\"T_6c430_row24_col15\" class=\"data row24 col15\" >3.26%</td>\n",
       "      <td id=\"T_6c430_row24_col16\" class=\"data row24 col16\" >3.08%</td>\n",
       "      <td id=\"T_6c430_row24_col17\" class=\"data row24 col17\" >3.16%</td>\n",
       "      <td id=\"T_6c430_row24_col18\" class=\"data row24 col18\" >2.95%</td>\n",
       "      <td id=\"T_6c430_row24_col19\" class=\"data row24 col19\" >3.06%</td>\n",
       "      <td id=\"T_6c430_row24_col20\" class=\"data row24 col20\" >3.09%</td>\n",
       "      <td id=\"T_6c430_row24_col21\" class=\"data row24 col21\" >3.60%</td>\n",
       "      <td id=\"T_6c430_row24_col22\" class=\"data row24 col22\" >3.06%</td>\n",
       "      <td id=\"T_6c430_row24_col23\" class=\"data row24 col23\" >3.28%</td>\n",
       "      <td id=\"T_6c430_row24_col24\" class=\"data row24 col24\" >3.15%</td>\n",
       "      <td id=\"T_6c430_row24_col25\" class=\"data row24 col25\" >3.29%</td>\n",
       "      <td id=\"T_6c430_row24_col26\" class=\"data row24 col26\" >3.14%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x166d38d90>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w_s.style.format(\"{:.2%}\").background_gradient(cmap='YlGn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting a comparison of assets weights for each portfolio\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.set_figwidth(16)\n",
    "fig.set_figheight(8)\n",
    "ax = fig.subplots(nrows=1, ncols=1)\n",
    "\n",
    "w_s.plot(kind='bar', width=0.8, ax=ax)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
